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There's An AI For That

Get investor details

get_investor
Read-only

Get public details for one verified active AI investor by slug. Preserve returned URLs exactly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe investor slug returned by search_investors.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
investorYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, non-destructive, non-open-world behavior, so the safety profile is covered. The description adds real context beyond them: results are limited to 'verified active' investors only, and returned URLs must be preserved exactly, which is a behavioral constraint an agent would otherwise violate.

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?

Two short sentences, front-loaded with the action and the key, with the URL-preservation caveat placed after. Nothing is redundant or padded.

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?

An output schema exists, so return-shape explanation is unnecessary, and the annotations carry the safety profile. The description covers the entity scope and the one critical constraint; only failure behavior (e.g., missing/invalid slug or unverified investor) is left unstated.

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

Parameters3/5

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

With a single parameter at 100% schema description coverage, the schema already documents the slug and its origin. The description adds no format, validation, or edge-case detail about the slug beyond the word 'by slug', so the baseline 3 applies.

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

Purpose4/5

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

States a specific verb and resource (get one investor's public details) plus a retrieval key (slug), which clearly separates it from the plural siblings like search_investors. The scope qualifiers 'verified active AI investor' further narrow what will come back, though the description never names search_investors as the counterpart.

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?

Usage is only implied: an agent can infer this is the detail lookup that follows a search. There is no explicit when-to-use/when-not statement, and the dependency on a slug from search_investors appears only in the schema, not the description.

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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