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DarkMatterProductions

mcp-project-context-server

search_project_context

Search indexed project context to retrieve relevant past decisions, architecture notes, and code summaries for your current task.

Instructions

Semantically search the indexed project context. Use this to find relevant past decisions, architecture notes, or code summaries related to your current task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language search query
n_resultsNo
project_pathYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'semantically search' without specifying side effects, permissions, or prerequisites like whether the context must be indexed first. Minimal behavioral insight.

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?

The description is two sentences, concise and front-loaded with the core purpose. No unnecessary words, though slightly more structured parameter hints could improve clarity.

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?

Given three parameters, no output schema, and no annotations, the description is too sparse. It omits details about the required project_path format, result behavior, and any prerequisites, leaving significant gaps for correct usage.

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

Parameters2/5

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

Schema description coverage is low (33%). The description adds context for the query parameter via examples, but does not explain the required 'project_path' parameter or 'n_results' (default but no description). The description does not compensate for the low schema coverage.

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 (indexed project context), and gives concrete examples of what to find (past decisions, architecture notes, code summaries). It clearly distinguishes from siblings like index_project_context or list_repositories.

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

Usage Guidelines3/5

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

The description implies when to use the tool ('find relevant past decisions...') but does not explicitly state when not to use it or mention alternatives among sibling tools. Usage guidance is implied but not explicit.

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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