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

No annotations are supplied, so the description carries the full burden. It does disclose a genuine behavioral trait the structured fields do not: each call costs 1 credit. However it omits whether a session persists across calls, whether the call is expensive/slow, auth requirements, or rate limits.

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?

Two short sentences, zero filler, with the action stated first and the credit cost held back as a secondary note. Nothing to trim.

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 3-parameter tool with no output schema and no annotations, the definition covers the basic contract and the cost, but leaves out session semantics, error/rate-limit behavior, and anything about response shape or latency that an agent would want before committing credits.

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?

Schema description coverage is only 33% (only session_id is documented), and the description adds nothing about message or chatbot_id. It also never explains that session_id enables multi-turn continuation, which is the main parameter subtlety here.

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?

States a specific verb (send a message) plus resource (a project chatbot) and what comes back (the reply). It is distinguishable from siblings like create_chatbot, chatbot_status and add_chatbot_content, but it never explicitly names those alternatives.

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?

No when-to-use guidance is given: nothing on when to ask a chatbot versus checking chatbot_status or feeding content via add_chatbot_content, and no prerequisites (e.g. that the chatbot must exist and be trained). The only condition-like signal, session omission, lives in the schema.

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