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Get Agent Maturity

get_agent_maturity
Read-onlyIdempotent

Retrieve the stored ABV maturity score (0-100) for an agent. Returns JSON score. Compliance: EU AI Act Art. 14, KYA-OS. Cost $0.01 per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesAgent identifier whose stored ABV maturity score (0–100) should be returned.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNoTrue when the tool completed without a validation error.
toolNoTool name that produced this payload.
paymentNoSettlement receipt after x402 or sandbox payment.
agent_idNoAgent that was queried.
maturityNoStored maturity score 0–100.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds useful non-obvious context: the response is a JSON score, there is a per-call cost of $0.01, and there is a compliance note. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, front-loaded with the main action, and generally efficient. The line about compliance is cryptic, and 'Returns JSON score' is partially redundant with the output schema, but overall it is a compact definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple single-parameter read tool with strong annotations and an output schema, the description is nearly complete, including cost and return shape. The main missing piece is guidance on when to use run_abv_assessment instead of this tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single agent_id parameter is already fully described. The description repeats the score range but adds no new parameter semantics beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Retrieve'), names the exact resource ('stored ABV maturity score'), and gives the value range (0-100). Saying 'stored' distinguishes it from the sibling run_abv_assessment without needing to name it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for reading an already-stored score, but it does not explicitly say when to prefer this over run_abv_assessment or other sibling tools. There is clear context but no exclusionary guidance or named alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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