Skills
get_skillsHis skill areas with certifications, and the languages and tools he works with.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| locale | No | Language of the answer (default en) | en |
get_skillsHis skill areas with certifications, and the languages and tools he works with.
| Name | Required | Description | Default |
|---|---|---|---|
| locale | No | Language of the answer (default en) | en |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so safety behaviour is covered. The description adds only that the response contains certifications, languages and tools — useful but minimal, with no note on scope (whose skills) or result size. No contradiction with 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?
A single compact sentence with the resource front-loaded — no filler. It is under-specified rather than verbose, which is a completeness problem, not a conciseness one.
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 simple, annotation-covered read tool with one optional param, the description is adequate but thin: it does not identify whose skills are returned, whether the result is a full inventory, or how it relates to the sibling listing tools. With no output schema, the brief content summary carries the return-value load.
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?
Only one optional parameter (locale) and it is fully documented in the schema with a default and an enum list, so schema coverage is 100%. The description adds nothing about locale or localized output, so the baseline 3 applies.
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 (skill areas, certifications, languages and tools) so an agent can infer retrieval, but it is written as a noun phrase with no explicit verb and uses an ambiguous 'His' with no stated subject. It is distinguishable from siblings like list_experience or get_profile only by inference, not by anything the text says.
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 mention of prerequisites, and no routing to or away from alternatives such as list_experience or get_profile. The agent must guess whether this returns a full skills inventory or a summary.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.