renderdoc_get_pixel_data

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Get pixel color data') but lacks critical details: it doesn't specify the return format (e.g., RGBA values, error handling), performance implications (e.g., computational cost for large textures), or dependencies (e.g., whether the texture must be loaded or accessible). For a tool with no annotation coverage, this leaves significant gaps in understanding how it behaves beyond the basic operation.

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 a single, efficient sentence that front-loads the core action ('Get pixel color data') and specifies the context ('at a specific location in a texture'). There is zero waste or redundancy, making it easy to parse quickly. Every word earns its place by clearly conveying the tool's function without unnecessary elaboration.

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?

Given the complexity of a pixel data retrieval tool with no annotations and no output schema, the description is incomplete. It lacks information on return values (e.g., data format, error cases), behavioral nuances (e.g., coordinate bounds, texture state requirements), and integration with sibling tools (e.g., how it relates to 'renderdoc_get_textures'). For a tool that likely returns structured color data, more context is needed to use it effectively without trial and error.

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%, with all parameters well-documented in the input schema (e.g., 'texture_id' as resource ID, 'x' and 'y' as coordinates, 'mip' as mip level with default). The description adds no additional parameter semantics beyond implying a 'specific location' for x and y. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract from the existing documentation.

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 clearly states the tool's purpose with a specific verb ('Get') and resource ('pixel color data'), specifying the action and target. It distinguishes from siblings like 'renderdoc_get_textures' (which lists textures) or 'renderdoc_get_texture_thumbnail' (which provides images) by focusing on individual pixel data extraction. However, it doesn't explicitly contrast with all siblings, such as 'renderdoc_analyze_draw_call', which might involve pixel analysis in a different context.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., requiring an open capture or specific texture state), exclusions (e.g., not for buffer data), or direct comparisons to siblings like 'renderdoc_get_textures' for texture metadata or 'renderdoc_get_texture_thumbnail' for visual previews. Usage is implied only by the action described, with no explicit context or alternatives provided.

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