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get_prompt_label

Retrieve detailed information about a specific prompt label using its ID, with optional filtering by organization and workspace.

Instructions

Retrieve detailed information about a specific prompt label

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
label_idYesLabel ID to retrieve
organisation_idNoOrganisation ID for filtering
workspace_idNoWorkspace ID for filtering
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Retrieve detailed information,' implying a read-only operation, but doesn't specify permissions, rate limits, error handling, or what 'detailed information' includes. This is insufficient for a tool with no annotation coverage.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and wastes no space, making it easy to parse quickly.

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

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'detailed information' entails, potential response formats, or behavioral aspects like authentication or errors. For a retrieval tool in a complex system with many siblings, this leaves significant gaps.

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%, so the schema fully documents the parameters (label_id, organisation_id, workspace_id). The description doesn't add meaning beyond the schema, such as explaining relationships between parameters or usage examples. Baseline 3 is appropriate as the schema handles parameter documentation.

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 verb ('Retrieve') and resource ('detailed information about a specific prompt label'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'list_prompt_labels' or 'get_prompt', which might retrieve similar information but with different scopes or formats.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'list_prompt_labels' for multiple labels or other 'get_' tools for related resources. The description lacks context about prerequisites, filtering needs, or typical use cases, leaving the agent to infer usage.

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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