Excel Analytics MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions saving as reusable, implying a write operation, but fails to detail permissions, side effects, error handling, or response behavior. This is inadequate for a tool that likely modifies state, as it lacks critical operational context.

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 brief but front-loaded with the main purpose. The second sentence provides a parameter example, which is useful but could be more integrated. It avoids redundancy but feels slightly fragmented, with room for improvement in flow and efficiency.

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 4 parameters with 0% schema coverage and no annotations, the description partially compensates with parameter guidance but lacks behavioral details. The presence of an output schema reduces the need to explain return values, but overall completeness is moderate due to gaps in usage and transparency for a state-modifying 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?

Schema description coverage is 0%, so the description must compensate. It provides an example for the 'parameters' field, clarifying it should be a JSON string with specific structure, which adds value beyond the bare schema. However, it does not explain the semantics of 'name', 'description', or 'sql_template', leaving three parameters partially undocumented.

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 ('Save a SQL template') and the outcome ('as a reusable named tool'), which is specific and understandable. It distinguishes from siblings like 'create_tool' by specifying SQL templates, though not explicitly contrasting with other tools. However, it's not tautological and provides a clear purpose.

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 offers no guidance on when to use this tool versus alternatives like 'create_tool' or 'edit_tool', nor does it mention prerequisites or exclusions. It implies usage for saving SQL templates but lacks explicit context or comparisons, leaving the agent to infer usage scenarios.

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