matlab-mcp-server-python

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

With no annotations provided, the description carries the full burden. It discloses that the tool attempts to cancel a MATLAB future and updates a tracker, which adds useful behavioral context beyond just 'cancel'. However, it does not cover permissions, side effects, error handling, or rate limits, leaving gaps for a mutation tool.

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 two sentences with zero waste, front-loading the main action and following with implementation details. Every word adds value, making it efficient and well-structured for quick understanding.

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 with no annotations), the description covers the core action and some behavioral traits. With an output schema present, return values need not be explained. However, it lacks details on error cases or full behavioral transparency, making it slightly incomplete for a mutation 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 0% description coverage, so the description must compensate. It does not explicitly mention the 'job_id' parameter, but the context of canceling a MATLAB job implies its necessity. Since there is only one required parameter, the description's focus on the job context provides adequate semantic meaning, though not explicit parameter details.

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 action ('cancel') and target ('a pending or running MATLAB execution job'), distinguishing it from siblings like get_job_status or get_job_result. It specifies the exact resource being acted upon, making the purpose unambiguous.

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 implies usage for jobs that are 'pending or running', but does not explicitly state when to use this tool versus alternatives like delete_file or when not to use it (e.g., for completed jobs). It provides some context but lacks explicit guidance on prerequisites or comparisons with sibling tools.

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