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Find complementary thinkers

find_complementary_thinkers
Read-onlyIdempotent

Which famous thinkers would COMPLETE this person — opposite poles on the axes where opposites unstick each other (not similarity). Open read; great for curiosity and for explaining what a complementary collaborator looks like. Share the pages as links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelIdNoModel id. Omit when connected via OAuth to use the person's own model.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYes
modelIdYes
complementsYes
humanVersionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so 'Open read' is redundant. The one genuinely additive behavioral detail is 'Share the pages as links,' indicating the return is shareable link pages. With annotations carrying the safety profile, this is a modest contribution.

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

Conciseness4/5

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

Two tight sentences, front-loaded with the core definition before the usage aside. The ALL-CAPS emphasis and em-dashes are slightly noisy but the content density is high and waste-free.

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 and annotations cover the safety profile, so the description need not explain returns. It adequately conveys the tool's distinctive output (complementary famous thinkers as link pages), leaving only alternative-routing guidance unaddressed.

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?

Schema description coverage is 100% and modelId is fully documented there, including the OAuth omission rule. The description adds nothing about the parameter, so 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 with a defining scope clause: finds famous thinkers who COMPLETE the person, explicitly 'not similarity.' That distinction separates it conceptually from proximity tools like find_matches and find_people, though it never names a sibling directly.

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?

'Open read; great for curiosity and for explaining what a complementary collaborator looks like' implies exploratory usage but gives no explicit when-to-use vs alternatives (e.g., find_matches for similar people) and no when-not conditions. Usage is inferable, not stated.

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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