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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety and openness profile is covered by structured data. The description adds useful behavioral context about what the results contain, but says nothing about result volume, limits, or whether the cross-org corpus is permission-gated. With annotations carrying the main burden, this is adequate rather than rich.

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 sentences, zero filler, with the core scope ('across multiple organizations') front-loaded and the result contents following immediately.

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?

With no output schema, the description does need to convey return values, and it does so at a useful level of abstraction (agent configurations, authority structures, workflow patterns). Minor gaps remain — result granularity, ranking, and volume — but for a zero-required-parameter read-only tool this is largely complete.

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 both parameters (industry, min_orgs) are documented in the schema including the default of 2 for min_orgs. The description mentions no parameters and adds no semantics beyond the schema, so the baseline 3 applies.

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 names a specific verb and resource ('Discover coordination patterns') and states the scope ('appear across multiple organizations'), then enumerates what the patterns cover (agent configurations, authority structures, workflow patterns). An agent can tell this is an aggregate/cross-org discovery tool. It does not, however, distinguish itself from near-neighbors like get_network_learnings, discover_intelligence, or get_best_practices.

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?

Usage is only implied: the 'across multiple organizations' framing suggests when this is appropriate (cross-org benchmarking rather than single-org lookup), but there is no explicit when-to-use, no when-not-to-use, and no named alternative such as get_network_learnings. Without that routing language the agent must infer the choice from sibling names alone.

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