list_applications
Read your bounded Track Jobs list. Requires applications:read. No credit charge.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | ||
| cursor | No | ||
| status | No | all |
Read your bounded Track Jobs list. Requires applications:read. No credit charge.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | ||
| cursor | No | ||
| status | No | all |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only, idempotent, non-destructive, closed-world behavior. The description adds two things annotations cannot convey: the required scope (applications:read) and that the call carries 'No credit charge', plus the hint that the list is 'bounded' (i.e., capped). That is genuine value beyond structured fields, though pagination mechanics remain unstated.
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?
Three short, front-loaded sentences with no filler or repetition. It is efficient, though arguably clipped to the point of omitting needed detail rather than being exemplary.
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?
With four undocumented parameters, no output schema, and no explanation of return shape, pagination, or how the enum status values behave, the definition is under-specified for the tool's complexity. The auth and cost notes are helpful but leave the operational contract largely unexplained.
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 description coverage is 0% across four parameters (limit, query, cursor, status), and the description supplies no parameter meaning at all. An agent must infer from bare property names that cursor drives pagination and status filters the list, which is exactly the gap the description should have filled.
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 verb ('Read') and the notion of a bounded list are present, but the resource is described as a 'Track Jobs list' rather than applications, which is jargon the agent must map back to the tool name. Sibling tools like list_search_results and get_job are not distinguished, so an agent gets only a vague sense of what this returns.
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 statement of when to use this tool versus search_jobs, list_search_results, or get_job. The only contextual cue is an authorization requirement ('Requires applications:read'), which is a prerequisite, not usage 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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