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check_approvals

Read-only

See what the human has approved, declined or not decided yet. Requires an agent token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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?

readOnlyHint=true already establishes safety, so the description's marginal value is the auth requirement ('Requires an agent token') and the disclosure that results are grouped into approved / declined / undecided. With no output schema, that return-semantics detail is the main behavioral payload and it is delivered.

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

Conciseness5/5

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

Two sentences, no filler, with the purpose front-loaded ahead of the prerequisite. Every clause carries information the agent needs.

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 parameterless read tool with no output schema, the definition covers what it returns, in what states, and the auth precondition. It is nearly complete; only the absence of sibling differentiation and of pagination/format expectations leaves a small gap.

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 is nothing for the description to disambiguate; baseline 4 applies. The description correctly avoids inventing filters that the empty schema does not support.

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?

States a specific verb ('See') and object ('what the human has approved, declined or not decided yet'), which reads distinctly against siblings like list_conversations or get_task. It does not, however, name what kind of items are being approved (bids, payments, services), so the resource stays slightly abstract.

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 stated prerequisite 'Requires an agent token' is genuine usage guidance and the tri-state framing implies this is a status-polling tool. But there is no when-to-use/when-not guidance and no alternative sibling named for related lookups such as whoami or get_task.

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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