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profiles_export

Export professor profiles from the local database in JSON, Markdown, or CSV format. Optionally include web search evidence for each professor and save to a file.

Instructions

Export professor profiles from the local database.

Args: format: "json" (default) | "markdown" | "csv" output_path: File path to save the export. If omitted, content is returned inline. include_evidence: If True, include web_search_evidence for each professor (JSON only)

Returns: dict with "content" (string), "format", "total", and "saved_to" (path if saved).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNojson
output_pathNo
include_evidenceNo
Behavior4/5

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

With no annotations, the description discloses key behaviors: it explains parameter effects (e.g., omitting output_path returns inline content, include_evidence only for JSON) and describes the return dict. It doesn't cover side effects or auth but overall provides good transparency.

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 well-structured with a one-line summary, then Args and Returns sections. Every sentence is necessary and front-loaded with the main purpose. No redundant information.

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

Completeness4/5

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

Given no output schema, the description provides a return value structure (dict with content, format, total, saved_to). It covers parameter details and behavior. It lacks error handling or concurrency notes, but for a simple export tool it is largely complete.

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

Parameters5/5

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

Schema coverage is 0%, so the description fully compensates by detailing each parameter: format's allowed values (json/markdown/csv), output_path behavior, and include_evidence constraint. This adds meaning beyond the schema's types and defaults.

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 clearly states 'Export professor profiles from the local database', using a specific verb and resource. This purpose distinguishes it from siblings like 'find_professors' or 'export_table'.

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

Usage Guidelines3/5

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

The description implies usage when exporting professor profile data but does not explicitly state when to use this tool over alternatives or provide exclusions. No explicit when-not guidance.

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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