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Specif-ai MCP Server

by doso

set-project-path

Define the project directory path for Specif-ai MCP Server to reload and process specification files, ensuring accurate document interaction when auto-detection fails.

Instructions

Set the project path and reload the solution, use this tool only when we not automatically able to infer the project path or asked by the user or us., we will try to auto infer it from the environment first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesThe absolute path to the project directory containing specification files
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 mentions that the tool 'reload[s] the solution,' which implies a state-changing operation, but doesn't specify whether this is destructive, requires specific permissions, or has side effects. The description lacks details on error handling, confirmation prompts, or what happens if the path is invalid. For a mutation tool with zero annotation coverage, this is a significant gap.

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

Conciseness3/5

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

The description is a single run-on sentence with awkward phrasing ('we not automatically able to infer') and redundancy ('or asked by the user or us'). It could be more structured and concise, but it does front-load the core purpose. The inefficiencies in wording prevent a higher score.

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

Completeness3/5

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

Given that this is a mutation tool with no annotations and no output schema, the description provides basic purpose and usage guidelines but lacks details on behavioral traits, error handling, or return values. It's minimally adequate for a simple tool with one parameter, but doesn't fully address the complexity of a state-changing operation. The auto-inference context adds some value.

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 input schema has 100% description coverage, with the 'path' parameter documented as 'The absolute path to the project directory containing specification files.' The description doesn't add any additional semantic information about the parameter beyond what's in the schema. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Set the project path and reload the solution.' It specifies the verb ('set') and resource ('project path'), and mentions the additional action of reloading the solution. However, it doesn't explicitly differentiate from sibling tools (which appear to be mostly 'get' operations), though the distinction is implied by the 'set' action.

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

Usage Guidelines4/5

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

The description provides clear usage context: 'use this tool only when we not automatically able to infer the project path or asked by the user or us.' It also mentions that auto-inference from the environment is attempted first. This gives explicit guidance on when to use the tool, though it doesn't name specific alternatives or provide detailed exclusions beyond the auto-inference note.

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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