Shakespeare's Monologues

get_paraphrased_monologue

Read-only

Fetch a monologue's full text alongside its modern-English, line-by-line paraphrase. The paraphrase is AI-generated (Claude) and may be null if it hasn't been generated yet — the url always has the monologue itself.

Input Schema

Name	Required	Description
`id`	No	The monologue's numeric id (from search_monologues).
`context`	Yes	Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
`llm_model`	Yes	The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
`monologue_id`	No	Deprecated alias for `id`.
`conversation_id`	No	Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.

Schema Changelog

Changes observed during successful MCP inspections.

Changed4 schema fields changedOct 11, 2026

changedInput schema / properties / context / description

Previous value: -"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.\""New value: +"Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\""

addedInput schema / properties / conversation_id

Added value: +{
+  "description": "Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.",
+  "type": "string"
+}

addedInput schema / properties / llm_model

Added value: +{
+  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
+  "type": "string"
+}

changedInput schema / required

Previous value: -[
-  "context"
-]New value: +[
+  "context",
+  "llm_model"
+]

Changed2 schema fields changedOct 3, 2026

changedInput schema / properties / id / type

Previous value: -[
-  "number",
-  "string"
-]New value: +[
+  "number",
+  "string",
+  "null"
+]

changedInput schema / properties / monologue_id / type

Previous value: -[
-  "number",
-  "string"
-]New value: +[
+  "number",
+  "string",
+  "null"
+]

Changed2 schema fields changedOct 3, 2026

changedInput schema / properties / id / type

Previous value: -"integer"New value: +[
+  "number",
+  "string"
+]

changedInput schema / properties / monologue_id / type

Previous value: -"integer"New value: +[
+  "number",
+  "string"
+]

Changed3 schema fields changedJul 27, 2026

changedInput schema / properties / id / description

Previous value: -"The monologue's numeric id."New value: +"The monologue's numeric id (from search_monologues)."

addedInput schema / properties / monologue_id

Added value: +{
+  "description": "Deprecated alias for `id`.",
+  "type": "integer"
+}

changedInput schema / required

Previous value: -[
-  "id",
-  "context"
-]New value: +[
+  "context"
+]

Changed3 schema fields changedJul 21, 2026

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"
+}

changedInput schema / required

Previous value: -[
-  "id"
-]New value: +[
+  "id",
+  "context"
+]

First observedJul 19, 2026

TDQS

A3.8/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond that: the paraphrase is AI-generated (Claude), may be null if not yet generated, and the url field always carries the monologue — telling the agent how to handle a partial response.

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?

Two tight sentences with zero filler; the returned content is front-loaded and the null/url caveat follows as the second most important fact. Every clause earns its place.

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

Completeness4/5

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

For a read-only fetch with no output schema and full schema coverage, the description covers the key unknowns: what comes back and how to cope with a missing paraphrase. It stops short of any guidance on sibling selection, which is the only real gap.

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 every parameter (id, context, llm_model, monologue_id, conversation_id) is already documented in the schema, including the analytics-only context/llm_model and the deprecated alias. The description adds no parameter-level meaning beyond that, so the baseline of 3 applies.

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) and resource (monologue) and names the two things returned: full text plus AI-generated line-by-line paraphrase. This implicitly separates it from get_monologue, but it never names that closest sibling explicitly, so an agent must infer the boundary.

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

Usage Guidelines3/5

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

Usage is only implied — the paraphrase content signals when to reach for this over get_monologue, and the note that the paraphrase may be null hints at a fallback. There is no explicit 'use this when / use X instead' guidance despite get_monologue being an obvious alternative.

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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get_paraphrased_monologue

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

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