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query_by_kind

Retrieve all records of a specified kind, such as rfc, adr, note, issue, or section, from a project corpus.

Instructions

All rows of a given kind (rfc, adr, note, issue, section, …).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesbearer token (from TERO_TOKENS)
valueYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It states it returns all rows, but does not mention read-only nature, pagination, error conditions, or any side effects. Minimal disclosure.

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 a single clear sentence with no fluff. It is appropriately sized for a simple query tool, though it could be expanded slightly without losing conciseness.

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

Completeness2/5

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

For a tool with two required parameters and no output schema, the description is incomplete. It does not explain the return format, possible values for the kind parameter, or how it differs from sibling tools. Given the context of multiple sibling tools, more guidance is needed.

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 coverage is 50% (only token has a description). The description adds meaning to the value parameter by listing example kinds, partially compensating. However, it does not specify allowed values precisely or explain the token parameter beyond what schema provides.

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 that the tool returns all rows for a given kind, and provides examples of kinds (rfc, adr, etc.). However, it does not distinguish itself from sibling tools like query_by_status or query_by_id, missing a chance to differentiate.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. The description only states what it does, but does not explain context or exclusions, leaving the agent to infer usage.

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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