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Get watchlist

get_watchlist
Read-only

List the LinkedIn posts on your watchlist — qualified posts SignalRaven is tracking for engagement, with relevance scores and lifecycle status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax posts (1–100).
offsetNoPagination offset.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ctaNoPresent in sample mode: how to get live data.
dataYesThe result rows, newest first.
modeYeslive: the caller's workspace. sample: illustrative data for accounts without an approved workspace.
totalNoTotal rows available, for pagination.
noticeNoPresent in sample mode: explains that the data is illustrative.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful context about returned content (relevance scores and lifecycle status), but it does not disclose other behavioral details such as ordering, pagination semantics beyond schema, or any rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that names the action, resource, and key output attributes without filler. Every phrase adds value and the em-dash construction keeps the core meaning immediate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple read-only list operation with full parameter schema coverage, an output schema, and safety annotations. The description sufficiently defines 'watchlist' and indicates the returned data, so an agent has what it needs to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with limit and offset already described in the schema. The tool description adds no parameter-level meaning beyond saying it lists posts, so it neither improves nor harms parameter understanding. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with a specific verb ('List') and a clear resource ('LinkedIn posts on your watchlist'). It further scopes the resource with 'qualified posts SignalRaven is tracking for engagement', which distinguishes it from generic signal-listing siblings like list_signals.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for retrieving watchlist posts, but it does not explicitly state when to use this over alternatives like list_signals or get_signal, nor does it mention any exclusions. The 'watchlist' qualifier provides context, but without explicit routing guidance the agent must infer the intended use case.

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

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