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FedgeNo

conventions-mcp

by FedgeNo

Search Conventions and Instructions

search_thoughts

Retrieve stored coding conventions and preferences by meaning or exact match. Call proactively before unfamiliar tasks or when uncertain about style choices.

Instructions

Look up previously stored coding conventions, standing instructions, and preferences, by meaning and by exact keyword match (hybrid search). Call this proactively before starting unfamiliar coding work, or when uncertain about a style/convention choice in a project — don't wait for the user to ask. Also call it when the user references a past preference or rule ('like we discussed', 'the usual way', 'you know how I like it').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesWhat to search for
Behavior4/5

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

No annotations provided, so description carries full burden. Describes hybrid search (by meaning and exact keyword), which is key behavioral info. Lacks details on performance or return format, but adequate for a search tool.

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?

Two sentences: first defines purpose, second gives usage guidance. Concise and front-loaded. Second sentence is slightly long but still efficient.

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?

With two simple parameters and no output schema, description covers purpose and usage well. Lacks return format or parameter details, but overall sufficient for an agent to understand when and how to use.

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% (query has description, limit does not). Description adds no parameter-specific details beyond schema. Does not explain limit or query context further, so baseline 3.

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?

Clearly states verb 'look up' and resource 'previously stored coding conventions, standing instructions, and preferences'. Distinguishes from sibling tools like capture_thought (store) and delete_thought (delete).

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

Usage Guidelines5/5

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

Provides explicit guidance: 'Call this proactively before starting unfamiliar coding work' and 'when the user references a past preference or rule'. Even advises against waiting for user request.

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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