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Glama

status

Check database counts, last sync time, and collector run history to monitor data freshness and collection health.

Instructions

Database counts, last sync, collectors and their last successful run.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full load, and it does disclose the concrete payload contents (counts, last sync timestamp, collectors and their last successful run), which is the main behavioral fact for a status endpoint. It says nothing about read-only semantics, freshness guarantees, cost, or whether the call can be slow — gaps that matter given zero annotation coverage.

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?

A single fragment sentence with no filler, and the most useful term (database counts, last sync) is front-loaded. It is slightly clipped to the point of being elliptical, but nothing is wasted.

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

Completeness3/5

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

For a zero-parameter tool with no output schema and no annotations, the description partly substitutes for a return-value spec by naming the four data categories. It stops short of describing the shape or nesting of that response, and gives no invocation context, leaving the definition merely adequate.

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 takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description appropriately spends its words on output scope rather than inventing parameter detail.

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

Purpose3/5

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

The description is a noun phrase listing the data the tool surfaces (database counts, last sync, collector runs) rather than a verb+resource statement. It conveys the subject matter but leaves the agent to infer that this is a read-only system-health snapshot, and it does nothing to separate it from siblings like guide or program_history.

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?

There is no explicit when-to-use, when-not-to-use, or named alternative among the 17 sibling tools. A health/diagnostics use case is only faintly implied by the listed contents, with nothing telling the agent to check freshness here before running program_history or recent_repo_pushes.

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