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blakethom8

Excel Analytics MCP Server

by blakethom8

edit_tool

Modify existing saved analyses or custom tools in the Excel Analytics MCP Server to update SQL templates, Python code, parameters, or descriptions for reusable analytics.

Instructions

Update an existing saved analysis or custom tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_idYes
nameNo
descriptionNo
sql_templateNo
python_codeNo
parametersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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. While 'Update' implies a mutation operation, the description doesn't specify required permissions, whether changes are reversible, potential side effects, or response format. 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.

Conciseness5/5

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

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly. Every word earns its place by conveying essential information.

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 the complexity (mutation tool with 6 parameters), lack of annotations, and 0% schema description coverage, the description is insufficiently complete. While an output schema exists (which helps with return values), the description doesn't address behavioral aspects, parameter meanings, or usage context needed for proper tool invocation.

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 0%, meaning none of the 6 parameters have descriptions in the schema. The tool description doesn't add any parameter-specific information beyond what's implied by the action ('Update'), failing to compensate for the lack of schema documentation. Parameters like 'sql_template' and 'python_code' remain unexplained in both schema and description.

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 action ('Update') and the resource ('an existing saved analysis or custom tool'), providing a specific verb+resource combination. However, it doesn't explicitly distinguish this from sibling tools like 'create_tool' or 'test_tool', which would require mentioning creation vs. modification or testing vs. editing.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing tool ID), exclusions (e.g., not for creating new tools), or direct comparisons to siblings like 'create_tool' or 'delete_tool'. Usage is implied but not explicitly stated.

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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