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sole03

mcp-rule-engine

by sole03

cognition_query

Query a cognition graph using a context hash to retrieve structured knowledge about code modifications, with optional intent hints and depth limits.

Instructions

Query the cognition graph from a context hash

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxDepthNo
intentHintNo
contextHashYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only says 'Query', implying read-only, but does not mention side effects, authorization needs, or any other behavioral traits. This is insufficient for an agent to infer safe usage.

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

Conciseness2/5

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

The description is a single sentence, but it is under-specified. Conciseness should not sacrifice necessary detail. There is no front-loading of critical information beyond the basic action.

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

Completeness1/5

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

Given the tool has 3 parameters (1 required), no output schema, and no annotations, the description is severely incomplete. It does not address the role of each parameter, expected output, or any contextual constraints. This tool cannot be reliably invoked from this description alone.

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%, yet the description adds no meaning beyond the schema. The description mentions 'from a context hash' but does not explain the purpose of other parameters (maxDepth, intentHint), nor does it clarify the format or semantics of contextHash.

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 clearly states the action ('Query') and the resource ('cognition graph') along with the key input ('context hash'). It distinguishes this tool from siblings like 'query_rules' or 'list_rules' by specifying the exact resource being queried.

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 versus alternatives, nor any prerequisites or context for effective use. The description is silent on when this tool is appropriate.

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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