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How to get an agent certified

how_to_get_certified
Read-onlyIdempotent

How an AI agent takes a TAP exam by itself: prices, the steps, and the MCP tools that let it sign, pay and submit.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuine value by disclosing the content of the response (prices, procedural steps, the tools involved), which matters because there is no output schema.

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?

A single tightly packed sentence with no filler and the subject front-loaded. The unexplained acronym 'TAP' costs a little, but there is no wasted text.

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 zero-argument, read-only informational tool with no output schema, the description covers what an agent needs to decide to call it and what it will get back. It could note that the content is static guidance, but the annotations already establish that nothing is mutated.

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

Parameters4/5

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

The tool takes zero parameters, so there are no parameter semantics to explain and the baseline is 4. The description correctly does not invent parameter discussion.

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

Purpose4/5

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

The description clearly states the tool answers 'how an AI agent takes a TAP exam by itself' and enumerates the payload (prices, steps, and the relevant MCP tools). That is a distinct purpose from the check/list siblings, though it never explicitly contrasts itself with them.

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?

Usage is only implied: the mention of 'the steps' and 'the MCP tools that let it sign, pay and submit' suggests this is the orientation resource to consult before invoking those tools, but there is no explicit when-to-use statement or named alternative such as check_agent_certification.

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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