memory_agent_join

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

Annotations already indicate the tool is not read-only, but the description adds meaningful behavioral context: agent_name is stamped on every write for traceability, and agents are advised to use tickets/roles to avoid collisions. This goes beyond the basic annotation flags and gives the agent important operational expectations. No contradiction with annotations.

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 four short, focused sentences: purpose, multi-agent context, coordination guidance, and traceability side effect. It is front-loaded and every sentence earns its place without fluff or redundancy.

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 covers the essential context: what the tool does, why it matters (collision prevention), and a critical side effect (traceability). With an output schema present and detailed nested parameter schemas, the tool is adequately specified for an agent to use it correctly. Minor gaps exist (e.g., re-joining behavior, how to leave), but these are not critical for the core registration use case.

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 context signal reports 0% schema description coverage, likely because the top-level 'params' property is a wrapper with no description. However, the nested AgentJoinInput schema does provide detailed per-field descriptions (e.g., agent_name stability, role options). The tool description itself adds minimal parameter semantics, only mentioning agent_name's traceability effect, which is not a parameter explanation. With the nested schema carrying the load, the baseline stands at 3.

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 opens with 'Register as an active agent', a specific verb+resource pair that clearly defines the tool's purpose. It distinguishes itself from sibling tools like memory_init or memory_onboard by emphasizing active registration and multi-agent coordination. The additional note about agent_name being stamped on every write further clarifies its role in traceability.

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 gives clear context—multiple agents may share a platform and ticket claims/roles should be used to prevent collisions—but it does not explicitly state when to use this tool versus alternatives or when not to use it. The usage scenario is implied rather than directly articulated, so it stops short of full guidance.

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