Read an application
yardstick_applications_readRead one application person + Job attachment by public id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | No | ||
| application_id | Yes |
yardstick_applications_readRead one application person + Job attachment by public id.
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | No | ||
| application_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that it reads by 'public id' and includes 'person + Job attachment', offering some content context but not detailing behavior on missing IDs or data format. This is modest added value beyond 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?
One sentence with no filler, but the compressed phrase 'person + Job attachment' sacrifices clarity. It is concise but somewhat ambiguous, so it doesn't fully earn its place as clear guidance.
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 two parameters, no output schema, and no nested objects, the description should still explain the unusual 'person + Job attachment' term and the optional request_id. It does neither, leaving agents uncertain about the exact call shape and return semantics.
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%, so the description must compensate for parameter meanings. It implicitly maps 'public id' to application_id, but request_id is completely unmentioned. This is partial compensation at best and leaves a required-parameter gap for agents.
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 states a read operation on an 'application' by public id. The phrase 'person + Job attachment' is ambiguous but still points to a specific resource type. The singular 'one' and 'by public id' help distinguish it from list operations, though it doesn't explicitly name siblings.
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?
There is no guidance on when to use this tool instead of alternatives like yardstick_applications_list or other read tools. It doesn't describe ideal use cases, prerequisites, or exclusions, leaving the selection decision to inference.
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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