The person's application numbers
get_statsThe person's application numbers. Sent, replies, reply rate, interviews and offers. A ready-to-read summary is in say.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_statsThe person's application numbers. Sent, replies, reply rate, interviews and offers. A ready-to-read summary is in say.
| 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, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds value by disclosing the specific aggregate fields returned and pointing at the `say` field for a ready-to-read summary, but it says nothing about auth requirements, rate limits, or data freshness.
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?
Two short sentences, front-loaded with the core purpose, and every sentence carries information. Minor redundancy: the phrase 'The person's application numbers' duplicates the title verbatim, spending the opening clause on a restatement.
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 no output schema, the description must carry the return-value burden; it partially does by listing the metrics and referencing a `say` summary. However, it does not explain the shape or structure of the returned numbers, and `say` is named without clarifying what it contains.
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 takes zero parameters, so the baseline is 4. There is no parameter surface for the description to clarify or omit.
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 names the resource and enumerates the specific metrics returned (sent, replies, reply rate, interviews, offers), so an agent can tell it surfaces application statistics. However, it never states a verb and does not differentiate itself from near-siblings like application_progress, get_hiring_stats, or get_tracker, leaving the boundary ambiguous.
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 when-to-use guidance, no prerequisites, and no mention of alternative tools. In a family containing application_progress, get_tracker, and get_hiring_stats, the agent is left to infer when this one is the right choice.
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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