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search_monologues

Search Shakespeare monologues by free text (matches character, play, or first line) plus optional filters. Returns matches, each with a permalink url.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actNoFilter to a specific act number.
playNoExact or partial play title.
limitNoMax results to return (default 25).
queryNoFree text — matched against character name, play title, and first line.
styleNoVerse or prose.
genderNoRole gender: Men, Women, or Both. Natural words like 'male'/'female' are accepted. 'Men'/'Women' also include gender-neutral ('Both') roles.
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / gender / description
      Previous value: -"Role gender as catalogued. 'Men'/'Women' also include gender-neutral ('Both') roles."New value: +"Role gender: Men, Women, or Both. Natural words like 'male'/'female' are accepted. 'Men'/'Women' also include gender-neutral ('Both') roles."
  2. Changed3 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "context"
      +]
  3. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that results include a permalink url but omits details on behavior for empty results, pagination beyond the limit, or ordering. For a search tool, this is moderate but not comprehensive.

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 two sentences, front-loading the core purpose and method. Every sentence adds value with no redundancy or excessive length. It is optimally concise.

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 tool with 7 parameters and no output schema, the description covers the basic function and return format. However, it lacks details on search semantics (e.g., case sensitivity, stemming, combination of filters). This is adequate but leaves room for ambiguity.

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%, and the description adds little beyond stating 'plus optional filters'. The schema already documents each parameter well. The description does not significantly augment parameter meaning, earning a baseline score of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Search', the resource 'Shakespeare monologues', and the search method 'free text (matches character, play, or first line)'. It also mentions optional filters and the return format (matches with permalink url). This distinguishes it from siblings like get_monologue (specific ID) and random_monologue (random selection).

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 lacks explicit guidance on when to use this tool versus alternatives. It does not specify when filters should be applied or when to prefer this search over fetching a specific monologue. Sibling tools are listed but no comparative context is provided.

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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