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onigetoc

MCP Context Master

by onigetoc

read_specific_context

Read the content of a named knowledge file to retrieve the exact project context stored for that topic.

Instructions

Reads the content of a specific knowledge file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileNameYesThe exact name of the knowledge file to read (e.g., 'cm-react-context-2023-10-27.md'). inside .context-master/knowledge directory.
Behavior3/5

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

With no annotations, the description carries the transparency burden. It states a read operation, which is clearly non-destructive, but doesn't disclose behavior on file-not-found, response format, or permissions. The minimal description adds little beyond the purpose.

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 one concise sentence that clearly states the purpose with no filler.

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 simple tool with a single parameter and no output schema, the description adequately communicates the function and input. However, it does not mention how it relates to the sibling read_template tool or error behavior, leaving a slight gap.

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?

The schema covers the parameter with 100% description, including an example and directory path. The tool description adds no additional parameter clarification, so baseline 3 applies.

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 tool reads the content of a specific knowledge file, using a specific verb and resource. It distinguishes from siblings like list_available_contexts and search_library_advisor by implying direct retrieval of a known file.

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 compared to siblings such as search_library_advisor or list_available_contexts. The description only states what it does, not when to choose it.

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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