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DigiAdapt AdTech Intel

Get AdTech intel

get_adtech_intel
Read-only

Today's AdTech news briefing from DigiAdapt, refreshed daily at 06:00 UTC from public sources. Each item has a headline, a two-sentence summary, the source, date and link. Optionally filter to one part of the ecosystem: dsp, ssp, ctv (streaming publishers) or oem (TV makers).

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": "get_adtech_intel"
  }
}

Input Schema

NameRequiredDescriptionDefault
categoryNoLimit results to one category

Output Schema

NameRequiredDescriptionDefault
itemsYes
categoryYes
generatedAtYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful context beyond that — daily refresh at 06:00 UTC and public sourcing — but says nothing about result volume, ordering, or what happens when no items exist for a category.

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 and no filler: freshness and source first, then optional filtering with the enum gloss. The headline/summary/source/date/link listing partly duplicates the output schema, which keeps it from a 5.

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?

A single optional parameter, a full output schema, and adequate annotations mean little else is needed. The description covers what the data is, how fresh it is, and how to narrow it — sufficient for correct invocation.

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?

Schema coverage is 100% and the enum is documented, so the baseline is 3. The description earns more by expanding the opaque abbreviations ctv as streaming publishers and oem as TV makers, which the schema does not do and which directly affects which value an agent picks.

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 and scope: "Today's AdTech news briefing from DigiAdapt", plus the item structure. It is clearly a single-day digest rather than a general archive search, which distinguishes it in spirit from search_intel, though it never names that sibling.

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?

Says the category filter is optional and gives the filtering intent, but offers no explicit when-to-use/when-not-to-use guidance or pointer to search_intel for broader or historical queries. Usage is implied rather than directed.

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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