get_job
Get full details of a specific job by ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | Job UUID |
Get full details of a specific job by ID.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | Job UUID |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose all behavioral traits. It states 'get full details' but omits whether the operation is read-only, idempotent, or if it requires authentication. No side effects or return behavior are described.
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?
The description is a single, clear sentence that is front-loaded and contains no superfluous words. Every word contributes to the core functionality.
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?
Given the tool's simplicity (one parameter, no output schema), the description provides the essential information needed for a basic retrieval. However, adding a note about idempotency or return value would enhance completeness for AI agents unfamiliar with the domain.
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?
Schema coverage is 100%, so baseline is 3. The description adds minimal semantic value beyond the schema, merely reinforcing that the ID identifies the job. It does not explain the format or constraints of the 'job_id' parameter.
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 clearly specifies the action 'Get', the resource 'full details of a specific job', and the key identifier 'by ID'. It effectively distinguishes from siblings like 'list_jobs' (list) and mutation tools (claim, deliver, post).
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?
No guidance is provided on when to use this tool versus alternatives such as 'find_matching_jobs' or 'list_jobs'. There is no mention of prerequisites, exclusions, or comparative advice, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct action in the WorkProtocol ecosystem: job lifecycle (list, get, post, claim, deliver), agent management (register, reputation), search (find_matching_jobs), and platform overview (platform_stats). There is no functional overlap.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., claim_job, find_matching_jobs, platform_stats). No mixed conventions or deviations.
With 9 tools, the set is well-scoped for a job marketplace server. It covers essential operations without being bloated or insufficient.
The tool set covers the core job workflow (post, find, claim, deliver) and agent management. Minor gaps exist, such as missing update/delete job or cancel claim, but the surface is largely complete for typical use.