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GPT Image Hub

get_prompt

Fetch one public GPT Image Hub prompt template by slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesPrompt slug.
localeNoOptional locale code.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 behavioral burden. It discloses that only 'public' templates are reachable, which is useful, but says nothing about what happens when a slug is missing, error behavior, or auth requirements for a fetch-by-identifier lookup.

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?

A single front-loaded sentence with zero filler. It is efficient, though its brevity is part of why usage and behavioral detail are absent.

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

Completeness3/5

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

For a simple two-parameter read lookup this is close to adequate, and no output schema exists so return values need not be described. However, with no annotations and no output schema, the description should at least note the form of the result or failure behavior.

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 already documents both slug and locale, making 3 the baseline. The description reinforces 'by slug' but adds no meaning about the optional locale parameter or its effect.

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 (fetch), resource (public GPT Image Hub prompt template) and scope (one, by slug). It implicitly contrasts with search_prompts, though it never names the sibling, so an agent must infer the distinction from 'one' vs 'search'.

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?

The description gives no when-to-use guidance, no exclusions, and does not mention search_prompts as the alternative for discovering prompts. The 'by slug' phrasing weakly implies you must already know the slug, but nothing is stated explicitly.

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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