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List Identifiers

list_identifiers
Read-onlyIdempotent

List identifier types with counts and sample values, or filter by type to see specific identifiers and linked entities.

Instructions

List CLV Identifier resources by type, with counts and sample values.

Args:

  • identifierType: (optional) Filter by identifier type string (e.g. "Codice Catastale", "Sigla Automobilistica")

  • limit: Maximum results (default: 20)

Returns:

  • If no identifierType: Summary of all identifier types with counts

  • If identifierType provided: Sample identifiers of that type with their values and linked entities

Use when: Exploring the clv:Identifier resources and their identifierType values in the triplestore.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results
identifierTypeNoFilter by type (e.g. "Codice Catastale")
Behavior4/5

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

Annotations already supply readOnlyHint, idempotentHint, and destructiveHint false. The description adds value by detailing the conditional return behavior based on the identifierType parameter, which aids understanding beyond the annotations.

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 very concise and well-structured with clear headings (Args, Returns, Use when). Every sentence serves a purpose, and the main action is front-loaded.

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?

For a simple list tool with two parameters and no output schema, the description adequately covers behavior, parameter effects, and usage context. Minor omissions like pagination details do not significantly detract from completeness.

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?

Schema coverage is 100%, but the description enriches both parameters: limit with default value (also in schema) and identifierType with concrete examples ('Codice Catastale', 'Sigla Automobilistica'). This adds practical semantic value.

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?

The description clearly states the tool lists CLV Identifier resources by type with counts and sample values, specifying the action and resource. It does not explicitly differentiate from sibling tools like explore_classes or describe_resource, but the purpose is unambiguous.

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 'Use when' section provides clear context for when to use the tool (exploring clv:Identifier resources). However, it offers no exclusions or alternative tool references, so it falls short of a top score.

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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