search_prompts
Search public GPT Image Hub prompt templates. Returns full prompt text.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | Search text. | |
| locale | No | Optional locale code. | |
| category | No | Optional category slug. |
Search public GPT Image Hub prompt templates. Returns full prompt text.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | No | Search text. | |
| locale | No | Optional locale code. | |
| category | No | Optional category slug. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must carry full behavioral burden. It discloses the return format ('full prompt text') but omits whether the operation is read-only, pagination limits, authentication needs, or rate limits. Minimal disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two economical sentences. Purpose is front-loaded before the return note. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple search tool with four optional params and no output schema, the description partially covers output but leaves gaps: no default limit behavior, no pagination, no usage context. Adequate but incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 75%; query, locale, and category have descriptions, while limit only has min/max. The description adds no parameter semantics beyond the schema. Given the moderate coverage and no compensating info, a baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb 'Search' and resource 'public GPT Image Hub prompt templates', and clarifies the return 'full prompt text'. It does not explicitly differentiate from siblings like get_prompt, so a 4 rather than 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use guidance or alternatives. It doesn't indicate when to search instead of retrieving a specific prompt via get_prompt or listing categories. Only implied usage from the verb.
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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