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Python
Hybrid

create_chat_transcript

Read-onlyIdempotent

Create a Markdown chat transcript from user prompts and Claude responses, preserving session context for documentation or review.

Instructions

Prompt for creating a chat transcript in markdown format with user prompts and Claude responses.

Input Schema

NameRequiredDescriptionDefault
session_idNoSession id returned by `create_session()`. This server serves many users from one process; the session id is what keeps your output directory and generated plots private to you. Pass the SAME value on every tool call. If the server replies that the session is unknown or expired, call `create_session()` again and use the new id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.0.0
    • addedInput schema / properties / session_id
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "Session id returned by `create_session()`. This server serves many users from one process; the session id is what keeps your output directory and generated plots private to you. Pass the SAME value on every tool call. If the server replies that the session is unknown or expired, call `create_session()` again and use the new id.",
+  "title": "Session Id"
+}
    • changedOutput schema / (root)
      Previous value: -{
-  "$defs": {
-    "Annotations": {
-      "additionalProperties": true,
-      "properties": {
-        "audience": {
-          "anyOf": [
-            {
-              "items": {
-                "enum": [
-                  "user",
-                  "assistant"
-                ],
-                "type": "string"
-              },
-              "type": "array"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null,
-          "title": "Audience"
-        },
-        "priority": {
-          "anyOf": [
-            {
-              "maximum": 1,
-              "minimum": 0,
-              "type": "number"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null,
-          "title": "Priority"
-        }
-      },
-      "title": "Annotations",
-      "type": "object"
-    },
-    "TextContent": {
-      "additionalProperties": true,
-      "description": "Text content for a message.",
-      "properties": {
-        "_meta": {
-          "anyOf": [
-            {
-              "additionalProperties": true,
-              "type": "object"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null,
-          "title": "Meta"
-        },
-        "annotations": {
-          "anyOf": [
-            {
-              "$ref": "#/$defs/Annotations"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null
-        },
-        "text": {
-          "title": "Text",
-          "type": "string"
-        },
-        "type": {
-          "const": "text",
-          "title": "Type",
-          "type": "string"
-        }
-      },
-      "required": [
-        "type",
-        "text"
-      ],
-      "title": "TextContent",
-      "type": "object"
-    }
-  },
-  "properties": {
-    "result": {
-      "items": {
-        "$ref": "#/$defs/TextContent"
-      },
-      "title": "Result",
-      "type": "array"
-    }
-  },
-  "required": [
-    "result"
-  ],
-  "title": "create_chat_transcriptOutput",
-  "type": "object"
-}New value: +null
  2. First observedv0.4.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and the annotation title calls it 'prompt only'. The description contributes the output format (markdown, user prompts and Claude responses), but it does not confirm the 'prompt only' nature or explain that no transcript file is created — a meaningful ambiguity that annotations partly, but not fully, resolve.

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?

A single efficient sentence with no filler. It is front-loaded, though very short relative to the ambiguity it leaves unresolved.

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 single-parameter, no-output-schema tool, the description covers the minimum, but the read-only 'prompt only' nature — the most important thing an agent needs to know to avoid expecting a persisted transcript — is conveyed only indirectly. It is adequate but incomplete.

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 there is only one optional parameter, so the schema fully documents session_id, including its privacy role and reuse instructions. The description adds nothing about parameters, so baseline 3 applies.

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

Purpose3/5

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

The description names a verb-adjacent action and resource ('creating a chat transcript in markdown format') and clarifies the content shape (user prompts + Claude responses). However, the odd phrasing 'Prompt for creating' leaves it ambiguous whether the tool generates a prompt, returns a transcript, or writes a file, and it draws no distinction from the 25 sibling tools.

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?

There is no statement of when to use this tool versus alternatives such as create_session or end_session, nor any precondition, trigger, or exclusion. The agent must infer usage entirely from the name.

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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