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Find Orphaned Entities

find_orphaned_entities
Read-onlyIdempotent

Identify registered characters and locations that no document mentions, using exact whole-word matching. Candidates for removal or for unwritten prose.

Instructions

List registered characters and locations that no document actually mentions — entities added to the registry but with no textual presence, which are candidates for removal or for prose that still needs writing. Uses exact whole-word matching, no AI. Requires an open project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
orphansYesRegistered entities with zero mentions across all documents.
registrySizeYesTotal number of registered entities considered.
Behavior4/5

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

Beyond annotations (readOnlyHint, idempotentHint, destructiveHint), the description adds that matching is exact whole-word and no AI, plus the requirement of an open project, providing useful behavioral context.

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?

Three concise sentences: purpose, use-case context, and constraints. No wasted words, front-loaded with key information.

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

Completeness5/5

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

For a simple read-only listing tool with no parameters, good annotations, and an output schema, the description covers the purpose, matching method, and use case adequately.

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

Parameters4/5

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

With zero parameters and 100% schema coverage, the description does not need to add parameter details; baseline 4 is appropriate as it explains the tool's behavior without parameter info.

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 it lists characters and locations not mentioned in any document, distinguishing it from sibling tools like find_mentions or check_consistency by focusing on orphaned entities.

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?

It provides context on when to use (candidates for removal or missing prose) and a prerequisite (open project), but does not explicitly exclude alternatives or state when not to use.

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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