Get company details
get_companyGet public details and recent active jobs for one hiring company by UUID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| company_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_companyGet public details and recent active jobs for one hiring company by UUID.
| Name | Required | Description | Default |
|---|---|---|---|
| company_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds useful context by noting the data is 'public' and includes 'recent active jobs', which gives the agent a sense of access level and content scope beyond the annotations.
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 one compact sentence with no filler. The key scoping detail ('by UUID') and the expected content ('public details and recent active jobs') are included without redundancy.
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 read-only tool with one parameter, an output schema, and safety annotations, the description is complete. It states what is returned, how the company is identified, and the public nature of the data. No critical invocation details are missing.
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 0%, so the description must compensate. It does by specifying that company_id is a UUID, which is a meaningful semantic addition over the schema's bare 'string' type. With a single required parameter, this is sufficient for correct invocation.
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 uses a specific verb ('Get') and resource ('public details and recent active jobs for one hiring company'), and identifies the key identifier as UUID. This clearly distinguishes it from sibling search tools like search_companies and search_jobs.
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?
The description clearly indicates the tool is for fetching a single company by UUID, which implies it is not for searching. It does not explicitly name alternatives or exclusion conditions, but the scope is clear enough for an agent to select it appropriately.
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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