get_capture_status

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

With zero annotations provided, the description carries the full burden of behavioral disclosure, and it covers only the loaded case. The most important edge case — what happens when NO capture is loaded (returns false? empty? throws?) — is entirely unstated. For an agent that may call this cold, that gap is significant.

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 concise sentences with zero filler. The primary purpose is front-loaded first, and the second sentence adds the return-value detail. Every word earns its place.

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 zero-parameter status query with no nested objects, this is mostly adequate — the output schema presumably covers the return shape, and the description covers the loaded case. However, the no-capture edge case, likely the first thing an agent encounters, is not addressed at all.

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 tool has zero parameters and 100% schema description coverage, so the schema has nothing to document. Per the rubric, the no-parameter baseline of 4 applies; the description correctly adds nothing about parameters because there are none.

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 a specific verb (Check) and resource (a capture currently loaded in RenderDoc) and identifies the return value (status and API type). It is immediately distinguishable from all sibling tools, which query buffers, textures, draw calls, or pipeline state — none of which check capture-load status.

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 description says only what the tool does, with no indication of when to call it (e.g., verifying a capture loaded after open_capture, or confirming a context exists before drawing data). No exclusions or alternatives are mentioned, though the low parameter count lowers the risk of misuse.

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