List companies
list_companiesList every company JobYap tracks with its active job count and JobYap company-page URL. Use the exact names as search_jobs company filters.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_companiesList every company JobYap tracks with its active job count and JobYap company-page URL. Use the exact names as search_jobs company filters.
| 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 and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral detail beyond annotations by stating the output scope (every tracked company) and the exact fields included, which is useful since there is no output schema.
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 only two sentences and wastes no words. The core purpose and output are stated first, followed by a directly actionable usage hint about search_jobs filters.
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 parameterless list tool with read-only annotations and no output schema, the description fully specifies what the agent gets: every company, active job count, and the company-page URL. Nothing essential for calling or interpreting the tool is 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?
The tool has zero parameters, so the baseline is 4. The description adds no parameter information, but none is needed; the schema's empty properties object is fully self-explanatory.
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 verb ('List'), a precise resource ('every company JobYap tracks'), and the returned fields (active job count and company-page URL). It is clearly distinguishable from siblings like search_jobs by emphasizing enumeration of all companies rather than filtered search.
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 provides clear usage context: it lists all tracked companies and tells agents to use the returned exact names as search_jobs company filters. It does not explicitly state when not to use it or name alternatives, but the relationship to search_jobs gives practical routing guidance.
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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