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

With no annotations, the description carries the full burden and does disclose the most decision-relevant trait: it is a pure DB read with no LinkedIn pull and no credits charged. It omits edge-case behavior (what happens when a company has no collected posts) and any auth/permission notes, keeping it below 5.

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 tight sentences: what it returns, why it matters, and its cost profile. Front-loaded with the core semantics 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?

Covers the prerequisite context that posts must be 'collected' and that results come from the local DB, which is important for a tool with zero annotations and no output schema. It stops short of clarifying the optional id/url inputs and the shape of a returned engager, the main remaining gap.

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 coverage is 100%, so each parameter is already documented. The description adds nothing about the id-vs-url duality or that at least one identifier per company is needed (required list is empty), leaving a real ambiguity the schema does not resolve.

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 and resource: return engagers who engaged with BOTH of two companies' posts. The 'BOTH' intersection semantics implicitly separate it from get_post_engagers_by_company and get_alumni_engagers, though no sibling is named explicitly.

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?

Provides an implied use case ('Cross-account intelligence — finds people interested in multiple targets simultaneously') but gives no explicit when-to-use/when-not or a named alternative for single-company lookups. The agent must infer routing from the intersection framing.

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