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Funkel AI

get_daily_priorities

Read-onlyIdempotent

Rank up to four live operational starting points with source IDs and links. Connected senders and insights count across the account; leads, actions, campaigns, and unread messages count within the selected product. Read only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false), so the closing 'Read only' is largely redundant. However the description adds real behavioral context beyond annotations: the result is capped at four items, includes source IDs and links, and the scope rules differ by source type (account-wide for senders/insights versus product-scoped for leads, actions, campaigns, unread messages). That scoping distinction is genuinely useful and not available anywhere else.

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?

Two sentences, front-loaded with the action and result shape, then the scoping rules. Dense but efficient. The trailing 'Read only' is the one sentence fragment that does not earn its place, since the annotations already assert it.

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

Completeness3/5

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

With no output schema, the description carries the burden of explaining returns, and it does so only partially: 'operational starting points' is jargon that is never defined, and the ranking criteria behind 'rank' are unexplained. An agent knows roughly what the call yields and its cap, but not why items are ordered as they are or how to present them.

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

Parameters4/5

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

The tool takes zero parameters, which is the baseline-4 case under the rubric; there is nothing for the description to clarify. The scope language ('within the selected product') hints that context is supplied externally, but no parameter exists to describe.

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?

The description gives a specific action (rank up to four items) and enumerates what those items are: connected senders, insights, leads, actions, campaigns, and unread messages, returned with source IDs and links. It is clear enough to distinguish this from a generic list tool. It stops short of naming or contrasting any sibling (e.g. get_inbox_queue, get_analytics), so it does not earn a 5.

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

Usage Guidelines2/5

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

There is no when-to-use statement, no exclusions, and no routing to alternatives, which matters in a family of ~50 tools containing get_inbox_queue, get_analytics, get_product_context and others that could plausibly be the 'start of my day' call. The word 'daily' implies a session-start use case, but that is inference rather than guidance.

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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