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ctrlcakepro

Chilon Recall

Official
by ctrlcakepro

Query Knowledge Index

rag_query
Read-only

Retrieve source-backed passages from your local index by asking a question. Adjust the number of candidates and top results to control the depth of retrieval.

Instructions

Retrieve source-backed passages from the active local index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNo
questionYes
candidatesNo
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds that the tool returns 'source-backed passages' from a 'local index,' but does not explain behavior when the index is not active or built, so it provides some context but not deep behavioral detail.

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?

The description is a single, front-loaded sentence with no fluff. Every word contributes to stating the tool's purpose, making it highly concise and well-structured.

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?

The tool has 3 parameters and no output schema, but the description omits parameter semantics, usage guidance, and return format details. While annotations cover read-only safety, an agent would not know how to set 'top'/'candidates' or what the response contains, making the description incomplete for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain the meaning or role of the 'top', 'question', or 'candidates' parameters. It implies a query is needed ('Retrieve source-backed passages') but never maps the query to the 'question' parameter or clarifies the numeric parameters, so the description fails to compensate for the schema's lack of descriptions.

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' and a precise resource 'source-backed passages from the active local index,' clearly distinguishing it from siblings like rag_list_documents or rag_status. It succinctly states what the tool does without ambiguity.

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 provided on when to use this tool instead of alternatives such as textbook_qa or other rag tools. The description lacks any contextual usage cues, leaving an agent without help in selecting between similar query tools.

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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