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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, but the description adds genuinely new behavioral facts: no credit debit, no context mutation, no new research is triggered. It also discloses that a missing-context state may be returned rather than an error, which helps the agent interpret results; only minor gaps remain (e.g. auth/prerequisite for a 'connected' project).

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?

Three short sentences with zero waste: capability first, the returned handle second, the cost/side-effect disclaimer last. Every sentence earns its place.

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?

An output schema exists, so return-value explanation is not required, yet the description still flags the two outcome shapes (confirmed niche context vs. explicit missing state) and the key field name. For a zero-parameter read tool this is 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?

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The description correctly adds no parameter noise and instead explains the single return handle (context_id) that callers must carry forward.

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 (read) and resource (connected project name, ID, confirmed niche context), plus the explicit missing-context fallback state. It also names the downstream consumers (niche and Ask queries) that accept the returned context_id, which clarifies its role among siblings, though it does not contrast against the other siblings like credit_balance or read_result.

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 line 'Returns the context_id that niche and Ask queries accept' implies this should be read before issuing those queries, giving clear usage context. It does not state explicit exclusions or when NOT to call it, so it falls short of the 5 bar.

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