singularityagent__mesh
Investigate one subject against a stated objective by calling several of these tools in a searched order, and come back with the facts, the path that proved them, and an explicit list of what could not be proved. Reach for it when a question needs more than one call and you do not already know wh...
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What singularityagent__mesh does on Rokha
AI agents invoke singularityagent__mesh to trigger actions in Rokha. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
beam | number | — | How many moves may run at once in one wave. Defaults to 3, capped at 5. Higher finishes sooner and can spend calls on moves a slower wave would have skipped. |
plan | boolean | — | Return the order the moves would be attempted in, and what each would cost, without calling anything. A plan assumes every move answers in full, which a real ru |
chain | string | — | Chain id or alias, when you already know it. Saves the search from inferring it, and narrows every move after. |
budget | string | number | — | How much of each list to return: 'small' (10 items, for a tight context), 'standard' (the default), 'full' (this source's maximum), or a number for an exact cou |
demand | object | — | For the `payment` objective: the terms the transaction in `subject` is held to. Without it, the proof is listed in `unproven` with the reason. |
subject | string | Yes | What the question is about: an address, transaction hash, ENS/SNS name, Solana mint, alias, or — for the `liveness` objective — a chain id. |
maxCalls | number | — | Hard ceiling on tool calls. Defaults to 8, capped at 16. The only argument that spends anything. |
objective | string | Yes | What counts as an answer. This decides which facts the search is trying to prove, and therefore which tools it will reach for. |
Parameters from the server's own tool schema.
Why singularityagent__mesh is rated High
Orchestrates multiple tool calls sequentially to achieve investigative objectives with unpredictable side effects.
From the tool's definition calls several tools in searched order, investigate subject against objective
Risk signalsHigh parameter count (15 properties) · Bulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs singularityagent__mesh safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For singularityagent__mesh, this is the rule to start with:
singularityagent__mesh stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Rokha, apply this rule, and every singularityagent__mesh call is checked against it from then on.
Questions about singularityagent__mesh
Investigate one subject against a stated objective by calling several of these tools in a searched order, and come back with the facts, the path that proved them, and an explicit list of what could not be proved. Reach for it when a question needs more than one call and you do not already know which calls, in what order — "is this token safe to buy", "what is this address", "did this transaction settle", "is this chain worth reading right now". Reach for the individual tool instead when you already know exactly which one you want; this is strictly more expensive than one call. objective decides what counts as an answer: identify (what is this string, on which chain), holdings (native and token balances), activity (what the address has been doing), settlement (the transaction, and whether its block can still be discarded), payment (settlement, plus whether the transaction met the demand it answered — pass demand; Solana only), safety (a Solana mint's authorities, its declared identity, and what could stop you selling it), liveness (whether a chain is producing blocks, and what a transfer costs on it). Each objective names the facts it wants; the search runs the cheapest moves that could prove the missing ones, several at a time, and stops as soon as they are all proved or the call budget is spent. Nothing is read twice — a fact proved by one move is available to every other. The verdict is about evidence, not about the subject. answered means every fact the objective asked for was established; partial means some were and the rest are named in unproven, each with the reason — a tool that does not apply on this chain, a prerequisite that was never proved, an endpoint that failed, or the budget running out. Read unproven before acting on facts. facts are summaries rather than the tools' full answers: each step records the tool and the exact arguments it was called with, so re-running one call gets the whole payload. sigma reports what the run earned against what those same calls could have earned, and every step's reward is arithmetic over what the call returned about itself — its completeness, whether it errored, what it proved. Nothing here judges how good a step looked, and there is no model in the loop: two runs against the same chain state produce the same path. Read-only throughout; it builds nothing and signs nothing. Pass plan: true to see the order and the cost without spending a call. It is categorised as a Execute tool in the Rokha MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
singularityagent__mesh accepts 8 parameters: beam, plan, chain, budget, demand, subject, maxCalls, objective. Required: subject, objective. The full parameter table on this page comes from the server's own tool schema.
Register the Rokha MCP server in PolicyLayer and add a rule for singularityagent__mesh: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Rokha. Nothing to install.
singularityagent__mesh is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the singularityagent__mesh rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for singularityagent__mesh. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
singularityagent__mesh is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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