Specif-ai MCP Server

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

No annotations are provided, so the description carries the full burden. It mentions that the tool 'reload[s] the solution,' which implies a state-changing operation, but doesn't disclose critical behavioral traits such as whether this requires specific permissions, what happens to existing project data, error conditions, or side effects. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is a single run-on sentence with awkward phrasing ('when 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. Some sentences could be trimmed for clarity without losing meaning.

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

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

Given the tool's complexity (a mutation operation with no annotations and no output schema), the description is moderately complete. It covers the purpose and usage guidelines adequately but lacks details on behavioral transparency, error handling, or return values. The schema covers parameters well, but overall completeness is limited by the missing behavioral context for a state-changing tool.

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

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 well-documented as 'The absolute path to the project directory containing specification files.' The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints. With high schema coverage, the baseline score of 3 is appropriate, as the schema does the heavy lifting.

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

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 includes an additional action ('reload the solution'). However, it doesn't distinguish this tool from its siblings (all 'get-' tools), which are clearly read-only operations, making this distinction implicit rather than explicit.

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

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

The description provides explicit usage guidelines: 'use this tool only when we not automatically able to infer the project path or asked by the user or us.' It also mentions an alternative approach ('we will try to auto infer it from the environment first'), giving clear context for when to use this tool. However, it doesn't explicitly state when NOT to use it or name specific sibling alternatives, though the context implies it's for setup vs. data retrieval tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.