get_feedback

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits: the tool automatically creates an empty feedback.md file if it doesn't exist, it's meant for continuous feedback loops during processes, and it requires repeated calls until explicit termination. However, it doesn't mention potential error conditions, rate limits, or authentication needs, which would be helpful for a tool with such mandatory usage rules.

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 excessively long and repetitive, with the mandatory usage rules section containing redundant information (e.g., multiple rules about continuous calling and termination). The core purpose is buried in verbose directives. While structured, it's not appropriately sized - many sentences don't earn their place through unique information value.

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 tool's complexity (mandatory continuous usage pattern) and lack of annotations/output schema, the description provides substantial contextual information about the tool's role in feedback loops, termination conditions, and behavioral expectations. It explains the tool's integration into workflows comprehensively. However, it doesn't describe what the tool returns or how to interpret feedback content, which would be valuable given the lack of output schema.

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 schema already documents all three parameters (head, path, tail) with their descriptions. The description doesn't add any parameter-specific information beyond what's in the schema. It mentions the default path ('defaults to ./feedback.md') which is already covered in the schema. Baseline 3 is appropriate 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?

The description clearly states the tool's purpose: 'Read the contents of a feedback.md file' and mentions default behavior (defaults to ./feedback.md). It specifies the verb ('Read') and resource ('feedback.md file'), making the purpose understandable. However, it doesn't explicitly differentiate from the sibling tool 'view_media' beyond the different file type focus.

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 extensive, explicit usage guidelines through the 'MANDATORY USAGE RULES - PRIMARY DIRECTIVE' section. It details when to use the tool (continuously during processes), when not to use it (only when user explicitly indicates termination), and includes termination conditions. The guidelines are comprehensive and leave no ambiguity about usage context.

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