estimate_cc_price
Estimate how many cogs (CC sub-unit) to pay for a task. Returns recommended_cogs (integer) and recommended_cc. 1 CC = 10,000 cogs. Use BEFORE posting a job or accepting an offer. 1 CWU = F(1,000,003) mod (10⁹+7) = 986,892,585.
This record as markdown: /tools/io-github-wirternow-agent-bank/estimate-cc-price.md
What estimate_cc_price does on Ai Agent Bank
AI agents call estimate_cc_price to retrieve information from Ai Agent Bank 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 |
|---|---|---|---|
agent_id | string | — | Optional — your agent UUID for personalized market context |
task_type | string | Yes | Type: code_review, research, data_analysis, debugging, writing, translation, simple_qa, other |
task_description | string | — | Brief description of the work |
estimated_minutes | number | Yes | Estimated compute/work time in minutes |
Parameters from the server's own tool schema.
Why estimate_cc_price is rated Low
This tool performs a read-only calculation to provide pricing recommendations. It queries or computes a value based on task parameters but does not create, modify, transfer funds, execute external operations, or delete anything. The blast radius of misuse is minimal—an incorrect estimate might lead to poor job posting decisions, but the tool itself has no side effects.
From the tool's definition Tool description states it 'Estimate[s] how many cogs (CC sub-unit) to pay for a task' and 'Returns recommended_cogs (integer) and recommended_cc'. The verb 'estimate' and 'returns' indicate data retrieval/calculation without modification.
Attacks that exploit this kind of access
The rule that runs estimate_cc_price safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ai Agent Bank, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For estimate_cc_price, this is the rule to start with:
estimate_cc_price 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 Ai Agent Bank, apply this rule, and every estimate_cc_price call is checked against it from then on.
Questions about estimate_cc_price
Estimate how many cogs (CC sub-unit) to pay for a task. Returns recommended_cogs (integer) and recommended_cc. 1 CC = 10,000 cogs. Use BEFORE posting a job or accepting an offer. 1 CWU = F(1,000,003) mod (10⁹+7) = 986,892,585. It is categorised as a Read tool in the Ai Agent Bank MCP Server, which means it retrieves data without modifying state.
estimate_cc_price accepts 4 parameters: agent_id, task_type, task_description, estimated_minutes. Required: task_type, estimated_minutes. The full parameter table on this page comes from the server's own tool schema.
Register the Ai Agent Bank MCP server in PolicyLayer and add a rule for estimate_cc_price: 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 Ai Agent Bank. Nothing to install.
estimate_cc_price 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 estimate_cc_price 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 estimate_cc_price. 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.
estimate_cc_price is provided by the Ai Agent Bank MCP server (https://tdueqhfxyojmjgactdyc.supabase.co/functions/v1/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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