describe_tool
Returns the full definition of exactly one AINumbers MCP tool: name, description, inputSchema, outputSchema (the JSON Schema its structuredContent validates against), annotations, and lifecycle_status. Use it after find_tool or find_chain hands you an mcp_name, or after tools/list whose entries o...
This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/describe-tool.md
What describe_tool does on Ainumbers Mcp Apps
AI agents call describe_tool to retrieve information from Ainumbers Mcp Apps without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Exact mcp_name to describe (e.g. "recompute_payment_waterfall"). Use find_tool for fuzzy search; this takes the exact name only. |
Parameters from the server's own tool schema.
Why describe_tool is rated Low
Retrieves tool metadata from a vendored catalog; no side effects, no data modification.
From the tool's definition Returns full definition of one tool: name, description, inputSchema, outputSchema, annotations.
Attacks that exploit this kind of access
The rule that runs describe_tool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ainumbers Mcp Apps, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For describe_tool, this is the rule to start with:
describe_tool is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ainumbers Mcp Apps, apply this rule, and every describe_tool call is checked against it from then on.
Questions about describe_tool
Returns the full definition of exactly one AINumbers MCP tool: name, description, inputSchema, outputSchema (the JSON Schema its structuredContent validates against), annotations, and lifecycle_status. Use it after find_tool or find_chain hands you an mcp_name, or after tools/list whose entries omit outputSchema to keep the catalog reply small — the pointer sentence "Output schema: call describe_tool(\"<name>\")." marks exactly those tools. One call, no side effects, zero network on the server: the definition comes from the vendored catalog. Unknown names are rejected with -32602 plus the nearest registered names. It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.
describe_tool accepts 1 parameter: name. Required: name. The full parameter table on this page comes from the server's own tool schema.
Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for describe_tool: 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 Ainumbers Mcp Apps. Nothing to install.
describe_tool is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the describe_tool 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 describe_tool. 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.
describe_tool is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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