Get job status
click2mail_get_job_statusStatus of a job: numeric status and its description (for example 9 = Editing) plus the status URL. GET /molpro/jobs/{id}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | Click2Mail job id. |
click2mail_get_job_statusStatus of a job: numeric status and its description (for example 9 = Editing) plus the status URL. GET /molpro/jobs/{id}.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | Click2Mail job id. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds real value beyond that by disclosing the return shape (numeric status plus description plus status URL) and the underlying endpoint GET /molpro/jobs/{id}, which the agent otherwise could not infer.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One front-loaded sentence covers the return contents and an example, followed by the endpoint in a compact clause. Every element earns its place and there is no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter read with no output schema, the description supplies enough about return values (status number, description, URL) to call it correctly. The one remaining gap is that it never clarifies how this differs from get_job_info or get_job_tracking, which an agent choosing among 20+ siblings would want.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is a single required parameter, job_id, with 100% schema description coverage, so the schema already documents it. The description does not add syntax, format, or sourcing guidance for job_id, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific resource (job status) and enumerates what is returned: numeric status, its description, and the status URL. It is clearly a read of job status. It does not explicitly distinguish itself from siblings like get_job_info or get_job_tracking, so it lands at 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: an agent can infer this is called to poll a job's state, and the example ('9 = Editing') hints at lifecycle checking. There is no explicit when-to-use guidance, no mention of when to prefer get_job_info/get_job_tracking, and no prerequisites stated.
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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