validate_yaml

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

With no annotations provided, the description carries the full burden. It discloses a key behavioral trait: 'Validation catches syntax errors but not semantic mistakes.' However, it omits important details such as what happens on validation failure, whether it returns a report or throws an error, and confirmation that it does not modify anything. This is a gap for a validation 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 three sentences long, front-loaded with the primary purpose, and every sentence earns its place. It delivers the core action, when to use it, and a limitation without any redundancy or filler.

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?

The description explains why and when to use the tool and its limitation, but since there is no output schema, it should describe what the tool returns or how validation results are conveyed. This missing information leaves the description somewhat incomplete for an agent needing to handle outcomes.

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 the parameters are already well-documented in the schema. The description adds context about the overall workflow but does not provide per-parameter elaboration beyond schema descriptions. Baseline 3 is appropriate.

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 function: 'Validate YAML content before pushing changes to a FlutterFlow project.' It uses a specific verb (validate) and resource (YAML content), and explicitly distinguishes itself from sibling tools like update_project_yaml by instructing 'Always call this before update_project_yaml.'

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 clear context and a direct usage instruction: call before update_project_yaml. It also offers a complementary tip to consult get_editing_guide or get_yaml_docs before writing YAML. However, it does not explicitly mention when not to use the tool or name alternatives, so it stops short of a 5.

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