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CanonicAI — cited Answers corpus

search_constructs

Search construct names and definitions across all canons (or one canon) by deterministic token scoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch query.
canonNoRestrict to one canon slug.
limitNoMaximum matches to return.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
queryYes
matchesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose that matching uses deterministic token scoring. However, it omits other behavioral details such as ranking, case sensitivity, or pagination, though the output schema covers return values.

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?

It is a single, front-loaded sentence with no wasted words. The core verb and resource appear immediately, and the scope and scoring method are appended compactly.

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 3-parameter search tool with a complete output schema, the description covers what it searches, where, and how. The main gap is the lack of guidance on when to prefer it over sibling search tools such as search_answers.

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 100%, so all three parameters are already documented in the schema. The description adds the scope choice 'across all canons (or one canon)', which aligns with the canon parameter but does not add syntax or format details beyond the schema.

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 states a specific verb (search) and resource (construct names and definitions), and clarifies the scope (all canons or one canon). It naturally distinguishes itself from sibling tools like search_answers by naming a different searchable resource.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternative tools are named. The description implies the tool is for searching constructs, but it does not help an agent choose between this and the sibling search_answers.

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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