x_api_get_chat_conversations

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

With no annotations, the description fully bears the transparency burden. It discloses read-only risk, required OAuth scopes, environment-selection behavior, parameter formats, expected response shape, common failure conditions, and safety warnings about sensitive data. This is exceptional detail for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with labeled sections and an example, making it easy to scan. It is longer than typical, but most content is operational and not filler. The only redundancy is 'Use when: Get Chat Conversations,' which adds no value.

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

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

For a tool with 8 parameters, no annotations, and no output schema, the description is remarkably complete. It covers permissions, auth behavior, response shape, failure conditions, and even a detailed example. The minor omissions (two parameter meanings) are outweighed by the rich operational context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description explains six of eight parameters: scopeTenantId, scopeUserId, scopeAccountId, credentialKey, max_results, and pagination_token. It misses authorizationKey and preferredAuthType, and describes max_results as integer while the schema also allows numeric strings. Given 0% schema coverage, this partial but meaningful explanation warrants a 4.

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

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

The description states 'Get Chat Conversations,' which clearly identifies the verb and resource. The plural form distinguishes it from the singular sibling tool x_api_get_chat_conversation, but it does not explicitly say 'list' or 'retrieve all conversations for the authenticated user.'

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

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

The 'Do not use when' section gives explicit exclusions (exploration, need for auth/configuration) and directs to x_schema_discovery/x_query_suggestion. It also lists recommended prerequisite/follow-up tools, giving useful context. However, 'Use when' is tautological, and there is no direct comparison with singular chat conversation tools.

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