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tdlm
by tdlm

get_staff_member

Retrieve a staff member's detailed profile from ParentSquare, including email, photo, and office hours, by providing their school and user IDs.

Instructions

Get detailed info for a specific staff member including email, photo, and office hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYes
school_idYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of behavioral disclosure. It implies a read-only operation via 'Get' and lists some returned fields, but it does not mention authentication requirements, error conditions, or any potential side effects. This adds some context but is not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler. It front-loads the action and resource, then adds specific output details. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has two required parameters, no annotations, and no output schema, so the description must explain usage, parameter semantics, and return structure. It only partially covers the return content (email, photo, office hours) and omits guidance on when to use it and what the parameters mean.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain the meaning or relationship of user_id and school_id. The schema only provides names and types, leaving the semantics entirely to inference, so the description fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and clearly identifies the resource ('detailed info for a specific staff member'), along with specific data fields (email, photo, office hours). It distinguishes itself from sibling list/directory tools by emphasizing the singular, specific nature of the lookup.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context: use this tool when you need detailed information about a single staff member. However, it does not explicitly name alternatives or exclusion criteria (e.g., 'for listing all staff, use get_directory instead'), so it stops short of the highest rating.

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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