bh_social_echo

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

No annotations are provided, so the description carries the full responsibility for behavioral disclosure. It states what is generated but not whether anything is persisted, whether authentication or side effects are involved, or how the generated content is returned to the agent.

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, front-loaded sentence with no filler. Every word contributes to the tool's purpose, making it easy to scan and parse quickly.

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 single-parameter generation tool, the description identifies both the input and the expected artifacts, which is reasonably complete. It loses a point because, with no output schema and no annotations, the return format and persistence behavior remain unstated.

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 schema already describes the sole parameter, postId, as 'ID of the blog post' with 100% coverage. The description adds no semantic detail about the parameter beyond implying the blog post is the source content, so the schema does the necessary work.

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 uses a specific verb ('Generate'), lists concrete resources ('Twitter thread, LinkedIn post, and newsletter teaser'), and scopes to 'an existing blog post'. This clearly separates it from siblings like bh_create_post or bh_generate_ideas, though it does not name those alternatives explicitly.

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?

It establishes a clear prerequisite: the blog post must already exist, implying this is post-publication content generation. However, it does not state when to prefer this over siblings such as bh_generate_ideas or bh_create_post, leaving the usage decision partly to inference.

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