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cardinalblue

Prompt Book Server

Official
by cardinalblue

search_prompts_by_title

Search prompt titles to find matching AI prompts stored in Notion databases. Enter a query to retrieve relevant prompts across multiple collections.

Instructions

Search prompts by title

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for prompt titles

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.5

TDQS

C2.9/5.0
Behavior2/5

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

There are no annotations, so the description must carry the behavioral disclosure burden. 'Search' implies a read operation, but the description does not clarify matching semantics, case sensitivity, partial matching, result size, or return format.

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?

The description is a single, short sentence that is easy to parse and front-loads the core action. It is not verbose, though it is sparing enough that some helpful behavioral context is absent.

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?

With no output schema and no annotations, the description should clarify what a successful search returns and how title matching works. It only restates the basic purpose, leaving important operational context missing for a tool that agents must invoke correctly.

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 parameter is fully documented in the schema. The description's 'by title' phrasing aligns with the schema but adds no additional meaning beyond it, matching the baseline for complete schema coverage.

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 states a clear verb and resource: it searches prompts by their title. It does not explicitly distinguish itself from sibling tools like get_prompts_by_tag or get_prompts_by_type, but the title-based scope is implicit in the phrasing.

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 given on when to use this tool versus alternatives such as list_prompts, get_prompts_by_tag, or get_prompts_by_type. The agent is left to infer usage solely from the tool name and description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.