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

With no annotations, the description carries the full behavioral burden and meets it: it discloses that data is read live from LinkedIn, budgeted to a few times a day, and that LinkedIn only retains pending requests. It also explains return fields, the `handle` presence/withdrawal constraint, `total` semantics, and the `complete: false` >500 caveat.

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 front-loaded with purpose and usage, then behavior and exclusions. It is somewhat long, especially the synonym list, but most sentences add real value for a tool with no annotations or output schema. A little trimming of the synonym block would improve it.

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?

Given no annotations, no output schema, and only two optional parameters, the description is complete enough for correct invocation. It covers purpose, usage, alternatives, behavioral constraints, return values, edge cases, and parameter semantics, leaving no material gap for an agent.

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 0%, so the description must compensate. It explains that `limit` is how many to return (default 100) and that `order` selects newest or oldest first, including the practical purpose of `order=oldest` for finding the stalest. The 500 maximum is only implied through the `complete: false` caveat rather than stated as a parameter constraint.

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 first sentence states a specific verb and resource: 'List the user's SENT connection requests that are still pending.' It immediately distinguishes this from received requests (list_connection_requests) and queued requests (list_scheduled), so an agent can select it without opening sibling schemas.

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 phrases ('show/list my sent requests', 'who hasn't accepted', 'oldest pending') and an explicit do-not-use clause for received or scheduled requests. Alternatives are named directly, leaving no inference needed.

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