srem

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

No annotations; description only mentions success/error message. Lacks details on idempotency, effect if value not in set, or return value (actual SREM returns count).

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?

Concise and well-structured with clear Args and Returns sections. Front-loaded description is efficient.

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?

Lacks details on behavior for non-existent keys or values, and the return description is inaccurate (SREM returns integer, not just message). Output schema not utilized to clarify.

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 has 0% description coverage; description adds 'The Redis set key' and 'The value to remove' but does not fully clarify type constraints or valid inputs.

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?

Clear verb ('Remove') and resource ('value from a Redis set'). Differentiates from sibling tools like sadd (add) and smembers (list).

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?

No guidance on when to use vs. alternatives (e.g., hdel for hashes, lrem for lists). No context for when not to use.

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