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Glama

get_job_status

Read-onlyIdempotent

Get the current status and progress of a job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already cover safety (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the description doesn't need to repeat that. It adds a slight behavioral cue by mentioning 'progress,' but doesn't disclose response format, error behavior, or any other traits. It's adequate but shallow.

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 one sentence, immediately front-loaded with the verb and object. There is no filler or irrelevant information, making it highly concise.

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?

The tool has no output schema, so the description should explain what 'status and progress' means in practical terms. It doesn't mention possible statuses, return format, or error cases. For an AI agent, this leaves too much ambiguity about the tool's behavior.

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?

The input schema has a single required parameter job_id with no description, and schema_description_coverage is 0%. The description only says 'a job,' which adds minimal meaning beyond the parameter name. It fails to explain what job_id represents or how it relates to other tools.

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 uses a specific verb 'Get' and identifies the resource as 'current status and progress of a job,' which clearly distinguishes it from sibling tools like get_job_results (results) and submit_urls (submission). The purpose is unambiguous.

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 does not mention that this is for checking job progress or that get_job_results is for retrieving outputs. No exclusions or contextual hints are given.

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

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: submitting URLs, checking job status, fetching results, and retrieving credit balance. No overlap or ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., get_job_status, submit_urls), making them predictable and easy to understand.

Tool Count5/5

With 4 tools, the server is well-scoped for its purpose. Each tool serves a necessary function without redundancy or unnecessary complexity.

Completeness5/5

The tool set covers the full lifecycle: submission, status polling, result retrieval, and usage tracking. No obvious gaps for a bulk URL checker.

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