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

Beyond the readOnlyHint annotation, the description adds useful behavioral context: this is a 'single-entity synthesis' call with a known pricing tier (B1, $0.01 per call) and is included in Understanding and Influence. It also clarifies that the workspace is not the account, which prevents a common misuse. It does not describe response shape or latency, but the read-only nature is well covered.

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 compact and front-loaded: purpose first, then the key negative distinction, then pricing. Each sentence carries distinct information and no filler.

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 nevertheless tells the agent what to expect back (plan, counts, locations) and why the call is useful in one shot. It also includes pricing and the account-lookup alternative. It leaves some room for more detail about the actual response structure, but it is complete enough for correct invocation.

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% for the only parameter, so the schema already fully documents the optional 'context' field. The description adds little about parameter behavior beyond the schema, so the baseline of 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 clearly identifies the resource as 'the workspace root' and states exactly what it returns: plan, saved search count, list count, and where each lives. It also distinguishes itself from the account endpoint with an explicit URL, so an agent can tell them apart.

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 explicit when-to-use context ('what do I have here and what can I afford' in one call, so an agent need not probe) and explicitly says when not to use it: for login, API key, usage, or billing, use the /auth/me endpoint. It does not contrast with similarly scoped siblings like list_lists or list_saved_searches, so it stops short of a 5.

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