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SalesHookAI

Dashboard overview

fetchDashboardOverview
Read-onlyIdempotent

Key figures of the business at a glance: number of quotes/invoices (open, accepted), customers, active projects, hours booked today, upcoming assignments, team size, open incoming invoices and the current plan.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "fetchDashboardOverview"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

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 readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds value by disclosing the payload contents (quotes/invoices, customers, projects, hours today, assignments, team size, plan), but says nothing about scoping to the caller's team, time windows beyond 'today', or freshness of the counts.

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?

One front-loaded sentence — 'Key figures of the business at a glance' — followed by an enumeration that earns its length by telling the agent what comes back. The parenthetical '(open, accepted)' adds precision rather than clutter, though the list is dense enough to read as inventory.

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?

With no output schema, the description must carry the return-value burden, and it does by listing the metric categories an agent will receive. Minor gaps remain around whether figures are team-scoped and what period 'upcoming assignments' covers, but the definition is sufficient to call the tool correctly.

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, so there is nothing for the description to disambiguate; baseline 4 applies. The absence of inputs is consistent with a snapshot aggregation endpoint.

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?

Names a specific resource (dashboard overview) and enumerates exactly which key figures it aggregates, so an agent can tell it apart from detail-oriented siblings like fetchQuotesContext or fetchIncomingInvoicesContext. The verb is implicit ('at a glance') rather than stated, which keeps it just short of 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 Guidelines3/5

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

'At a glance' implies a first-look summary use case, and the aggregation of many domains signals this is the entry point before drilling into detail tools. However, it never explicitly says when to prefer it over siblings such as fetchQuotesContext or fetchProjectBoard, nor does it state any exclusions.

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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