List the hiring team
list_hiring_teamList the active members of your AvaHR team, with titles and email addresses.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_hiring_teamList the active members of your AvaHR team, with titles and email addresses.
| 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, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description contributes the meaningful extra that only *active* members are returned (implying deactivated users are filtered out) and what fields come back, but says nothing about ordering, result size, pagination, or permission requirements. Reasonable value-add on top of a well-annotated tool, not rich.
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 no filler; the returned fields are mentioned in the same breath as the action. Nothing is padded or repeated.
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 zero-parameter, side-effect-free list call with full annotation coverage and no output schema, the description supplies what an agent needs: what it lists and what each record contains. The only gap is result-set behavior (size, ordering, whether it spans the workspace), which is minor at this complexity.
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 applies. The description correctly implies no input is needed to produce the roster.
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 gives a specific verb and resource ("List the active members of your AvaHR team") and adds what each entry contains (titles, email addresses). It is clear on its own, though it never distinguishes this roster from the candidate/job listing siblings, and the slight drift between the name's "hiring team" and the description's "your AvaHR team" leaves scope mildly 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?
Usage is only implied — an agent can infer this is the roster lookup for finding colleagues, but the description never states when to reach for it over the sibling list_* tools or any prerequisites (e.g. whether it is scoped to the caller's workspace or to a specific job's hiring team). No exclusions or alternatives are named.
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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