Shakespeare's Monologues

get_scene_summary

Read-only

Fetch an AI-generated summary of the scene a monologue appears in (context for the speech). May be null if not generated yet.

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 numeric id of a monologue in the scene."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 27, 2026

addedInput schema / properties / id

Added value: +{
+  "description": "The numeric id of a monologue in the scene.",
+  "type": "integer"
+}

removedInput schema / properties / monologue_id

Removed value: -{
-  "description": "The id of a monologue in the scene.",
-  "type": "integer"
-}

changedInput schema / required

Previous value: -[
-  "monologue_id",
-  "context"
-]New value: +[
+  "id",
+  "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: -[
-  "monologue_id"
-]New value: +[
+  "monologue_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 safety is covered. The description adds genuine value beyond that by disclosing the return behavior ('May be null if not generated yet') and that the summary is AI-generated.

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, front-loaded with the action and resource, with the nullability caveat last. No wasted words.

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 simple read-only tool with no output schema and full annotation coverage, the description adequately conveys what is returned and its possible null state. It does not explain the required context/llm_model analytics params, but those are documented in the schema.

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 baseline is 3. The description adds no parameter-level detail (e.g. that id comes from search_monologues), leaving the schema to carry all parameter meaning.

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 and resource: 'Fetch an AI-generated summary of the scene a monologue appears in.' The scene-level scope implicitly distinguishes it from get_play_summary, though no sibling is named explicitly.

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?

The parenthetical '(context for the speech)' implies the intended use case, giving implied guidance. However, it never states when-not to use it or names alternatives like get_play_summary or get_monologue.

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_scene_summary

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

Resources