Skip to main content
Glama
pawel-tkaczyk

Publer MCP Server

get_job_status

Check the current status of an asynchronous Publer job using its job ID to determine if it completed, failed, or is still processing.

Instructions

Check the status of an asynchronous Publer job

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It does not mention whether the operation is read-only, what happens if the job_id is invalid, or what the response structure looks like. The description is too minimal to convey the tool's behavior beyond the basic action.

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, front-loaded sentence with no redundant words. It earns its place by stating the core purpose efficiently. However, it may be too terse, missing valuable context that could be added without harming conciseness. Still, for a simple tool, the length is appropriate.

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 is simple (1 parameter, no output schema, no annotations), but the description is still incomplete. It does not explain what the returned status values are, error conditions, or the context in which this job-status check is used (e.g., after scheduling). The absence of an output schema increases the need for description to cover return values, which it does not.

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?

Schema coverage is 0%, so the description must compensate by explaining the parameter. The description does not mention 'job_id' at all, relying solely on the schema. While the parameter name is self-explanatory, the description adds no meaning about where to obtain the job_id or accepted formats, leaving a gap in understanding.

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 the tool's function with a specific verb ('Check') and resource ('status of an asynchronous Publer job'). It distinguishes itself from sibling tools, none of which are related to job status checking. The wording is unambiguous and direct.

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, nor does it mention prerequisites or exclusions. It simply says what the tool does, leaving the agent to infer that it should be used when a job_id is available. No alternative tools or contexts are referenced.

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

Install Server

Other Tools

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/pawel-tkaczyk/publer-mcp'

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