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What is left today and this week

get_account_limits
Read-onlyIdempotent

For one account: each capped action (messages, new chats, InMail, invitations, profile views, searches, comments, reactions, endorsements, follows) with how many were used today and in the last 7 days against the daily and weekly caps, the LinkedIn plan the caps follow, and the warm-up. Check it before planning a day of work. Reads only Spaces records.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "account_id": "<account_id>"
    },
    "name": "get_account_limits"
  }
}

Input Schema

NameRequiredDescriptionDefault
account_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description adds useful provenance — "Reads only Spaces records" — indicating the data source, but says nothing about freshness/staleness of counters or what happens with an unknown account.

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

Conciseness4/5

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

Front-loaded with the scope ("For one account"), then the returned fields, then the call-to-action. The parenthetical list of ten capped actions is long but each item is load-bearing information; the two trailing sentences are short and purposeful.

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

Completeness4/5

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

There is no output schema, and the description compensates by enumerating the returned fields (per-action today/7-day usage vs caps, plan, warm-up). With only one parameter and rich annotations, the only remaining gap is counter freshness and error handling for an invalid account id.

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?

Only one parameter (account_id) and the schema documents none of it (0% coverage). "For one account" clarifies that the id selects a single account rather than aggregating, which is marginal added meaning; no format, validity, or not-found behavior is described.

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

Purpose4/5

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

States a specific resource (per-account capped-action usage) and enumerates exactly what is returned: used-today and 7-day counts against daily/weekly caps, the LinkedIn plan, and warm-up state. It is clearly distinguishable from sibling balance tools like get_inmail_balance or get_messaging_usage, though it does not explicitly name them.

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

Usage Guidelines4/5

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

"Check it before planning a day of work" gives a concrete usage trigger, which is more than most definitions offer. It stops short of exclusions or pointing to alternatives when only one metric (InMail, messaging) is needed.

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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