get_profile
Overview of Kyle Romero: title, summary, location, current role, and total experience.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Overview of Kyle Romero: title, summary, location, current role, and total experience.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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 openWorldHint=false, so the safety profile is fully covered. The description adds the returned field set, which is mildly useful context but largely duplicates the output schema; it discloses nothing about scope limits, auth, or data freshness beyond that.
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?
A single front-loaded sentence with the most important noun ('Overview') first and a compact field list; nothing is wasted and no padding is present.
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 parameters and an existing output schema, the description only needs to identify the tool and its scope, which it does. The one thing an agent might still want is an explicit pointer to the sibling tools for deeper fields, which is not provided.
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 there is no parameter semantics to explain and the baseline is 4. The description correctly does not invent parameter behavior.
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 resource (the profile of Kyle Romero) and enumerates exactly what the overview contains: title, summary, location, current role, total experience. That is clearly distinguishable from field-specific siblings like get_skills or get_education, though it never explicitly says 'use this for the overview, those for details.'
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 word 'Overview' implies this is the entry-point/aggregate call versus the granular siblings (get_contact, list_experience, get_skills), but the description never states when to prefer it or when to drill into a sibling. Usage is inferable but not articulated.
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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