Skip to main content
Glama
ktmcp-cli

frankiefin

by ktmcp-cli

UpdateProcessIndustryUtilityDocument

Update the industry utility document, then run a price comparison to identify competitive utility rates.

Instructions

Update Document and Run Utility Price Comparison.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3/5.0
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. The phrase 'Update Document and Run Utility Price Comparison' implies a mutating write plus an analysis step, but it does not say what gets overwritten, whether prior document content is destroyed, what dependencies exist, or what the result looks like. This is insufficient for an operation that likely modifies a user's document.

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

Conciseness4/5

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

The description is a single short sentence with no filler words. It is concise but terse to the point of underspecification, and it combines two actions into one undifferentiated phrase rather than clearly structuring the operation.

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?

With no annotations, no output schema, and an empty input schema, this description is the only source an agent has. It lacks essential context: what specific document is affected, what 'update' mutates, how the price comparison is performed, and how this relates to the many sibling document tools. The definition is not complete enough for safe autonomous invocation.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema is an empty object, so there is nothing for the description to elaborate on parameter-wise. It also cannot explain how the document is selected, which would have helped, so it does not earn a 5. Baseline 4 is appropriate for a no-parameter tool.

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 two actions: updating a document and running a utility price comparison. However, it uses the generic 'Document' rather than identifying the process-industry utility document from the tool name, and it does not distinguish this tool from siblings like UpdateDocument or UpdateCompareDocument. A- is acceptable: clear verb+resource, but no sibling differentiation.

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 gives no guidance on when to use this tool versus alternatives. Siblings such as UpdateProcessIndustryUtilityDocumentConsent, UpdateProcessIndustryUtilityDocumentSwitch, UpdateDocument, and CompareDocument suggest different workflow steps, but nothing here explains where this step fits or what conditions select it.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ktmcp-cli/frankiefin'

If you have feedback or need assistance with the MCP directory API, please join our Discord server