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

With no annotations, the description carries the full burden, and it does disclose the critical non-idempotent-seeming toggle behavior that an agent would otherwise get wrong. It says nothing about permissions, failure modes (nonexistent post, already-liked edge cases), or side effects on counters, leaving real gaps for a mutation 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?

Two tight sentences with the toggle semantics front-loaded before the parameter note. Nothing is padded, and the docstring-style Args block is minimal.

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?

Output schema exists, so return values need no explanation, and the single parameter's source is covered. However, for an unannotated mutation tool the description omits auth requirements and error behavior, leaving an agent to discover edge cases at call time.

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 coverage is 0%, so the description must compensate; it partially does by giving provenance ('The post's id from read_feed'), which tells the agent where to obtain the value. It adds no format, type, or validation detail beyond that, so it falls short of full compensation for an undocumented parameter.

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?

States a specific verb and resource ('Like (or unlike) a feed post') and immediately clarifies the toggling semantics, which is the non-obvious part. It does not explicitly distinguish itself from siblings like reply_to_post or read_feed, but the toggle behavior makes its identity unambiguous.

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?

'Call again to unlike' gives a concrete usage rule for re-invocation, and 'id from read_feed' implies the prerequisite workflow. There is no explicit statement of when to prefer this over related tools or what happens if the post is already in the target state.

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