get_conversation_transcript

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

With no annotations, the description carries the full burden. It does disclose the kinds of events returned (steps, prompts, thoughts, tool invocations) and implies a read-only inspection, but says nothing about ordering, pagination behavior tied to limit, or what the response structure looks like despite there being no output schema.

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?

A single, front-loaded sentence with no filler; the resource and the payoff are stated immediately. It is efficient, though it could have used the remaining space to state usage conditions.

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 two-parameter, annotation-free tool with no output schema, the description covers what the transcript contains but omits return shape, ordering, and how limit interacts with the transcript window. Adequate but with clear gaps for an agent deciding how to call it.

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 100%, so limit and conversation_id are already documented in the schema, and the description adds nothing about either (e.g. the default-to-active-conversation behavior only appears in the schema). Baseline 3 applies when the schema does the heavy lifting.

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?

Names a specific verb ("Inspects") and a specific resource ("the execution transcript of an Antigravity conversation"), plus enumerates the content it exposes (agent steps, user prompts, thoughts, tool invocations). It is clearly distinct from a listing tool like list_conversations, but never explicitly contrasts itself with any sibling.

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 phrase "allowing Gemini to review recent agent steps" implies the review/debugging context in which an agent would reach for it, but there is no explicit when-to-use, no exclusion, and no mention of the sibling list_conversations as an alternative for enumerating conversations.

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