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Glama

health

Liveness and deployed build.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden and discloses the core behavior: it reports liveness and deployed build. However, it does not state whether the call is read-only, what the response looks like, or any operational caveats, leaving some behavioral uncertainty.

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 extremely short and front-loads the two key concepts: liveness and deployed build. It is not padded, though it is a fragment rather than a full structured explanation.

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?

As a no-parameter, low-complexity health tool, the description conveys the essential purpose. It is incomplete on return value details, which would matter since no output schema is provided, but it is minimally adequate for selecting the tool.

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 input schema has zero parameters, so there is nothing for the description to explain about arguments. Per the baseline for 0-param tools, the description does not need to add parameter semantics.

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 names the tool's function as exposing liveness and the deployed build, which is clear for a zero-parameter health endpoint. It lacks an explicit verb, so it falls short of a full verb+resource statement, but it is easily distinguished from the listed sibling tools.

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

Usage Guidelines3/5

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

There is no explicit guidance about when to call this tool versus alternatives, but the term 'Liveness' implies using it to check service health and build status. No exclusions or alternatives are mentioned, so usage is mostly inferred.

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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TDQS

B3/5.0
Disambiguation3/5

Several tools relate to auditing (audit_url, get_audit, run_tab) which might cause confusion, but descriptions clarify the differences. Overall, there is some overlap but each has a distinct role.

Naming Consistency3/5

Most tools follow verb_noun pattern, but a few (billing, contact, health, api_index) are plain nouns, making the naming inconsistent.

Tool Count5/5

With 14 tools, the server covers core audit functionality plus auxiliary features like billing and health, which is appropriate for its scope.

Completeness4/5

The server provides tools for auditing URLs, managing tabs, retrieving results, patches, badges, and listing tools. Missing delete/update operations for tabs or audits, but these are not critical for a page audit service.

Resources