Skip to main content
Glama

maintenance-log

Export the log as CSV or Markdown

maintenance_export

Export maintenance entries dated inside a range. CSV (free): one row per entry, ready for a spreadsheet. Markdown (Pro): one section per asset with its entries, total spend and next due date, ready to paste into notes or a report. Writes nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoOnly entries dated on or before this, YYYY-MM-DD. Default: no upper bound
fromNoOnly entries dated on or after this, YYYY-MM-DD. Default: no lower bound
formatNocsv (default) or markdown. Markdown summaries are a Pro feature

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description must carry the full behavioral burden. It explicitly discloses 'Writes nothing,' which is important for a tool that could otherwise be assumed to modify or create data. It also describes the output shape for both formats, giving the agent a clear picture of what to expect.

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 compact and efficient. The core purpose is stated first, followed by concise format-specific use cases significance and a short side-effect note. No sentences are wasted.

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

Completeness5/5

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

For a tool with no output schema and no annotations, the description is complete enough. It covers what the tool exports, the date range, the two formats, what the output looks like in each case, and the fact that it writes nothing. An agent can invoke it correctly with the provided schema and this description.

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?

Schema coverage is 100%, so the schema already documents all three parameters. The description adds useful semantic meaning to the 'format' parameter by explaining the output structure and the free/Pro distinction. It does not need to repeat the schema's date parameter descriptions.

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

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb ('Export'), a resource ('maintenance entries'), and a date-based scope. It also distinguishes the two output formats. None of the sibling tools overlap with exporting, so there is no ambiguity about what this tool does.

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

Usage Guidelines4/5

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

The description gives clear context for when to use each format: CSV for spreadsheets has ready-to-paste Markdown for notes or reports. It does not explicitly say when not to use this tool versus a sibling like maintenance_log, but the intended use is strongly implied by the export focus.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.