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Intakra Buying Signals and Workspace

Choose accounts worth a look

prioritize_accounts
Read-onlyIdempotent

Use for 'who should I target from my account list?' or 'are these companies showing buying signals?'. Rank your tracked accounts by their saved open opportunities relevant to your offering (and by Intakra's account score for fit, timing and reach, 0 to 100, when it is on for your workspace), with dated proof, links and a rough time frame. Optional domains restrict the list. Returns missing accounts and accounts without eligible saved signals. Public events can suggest a reason to investigate; they do not confirm need, budget or purchase intent. This does not run fresh research or contact anyone.

Input Schema

NameRequiredDescriptionDefault
limitNoRanked accounts to return, default 20.
domainsNoOptional company domains to check against your tracked list, up to 200. Omit to use your tracked accounts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, non-open-world), yet the description adds real behavioral context: what is returned (dated proof, links, rough time frame, missing accounts, accounts without eligible signals) and an important epistemic caveat that public events suggest investigation but do not confirm need, budget or intent. It stops short of covering pagination or latency behavior.

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-loads the user questions it answers, then explains ranking, output, caveats and scope in tight sequence. The nested parenthetical about the account score is slightly dense but each sentence carries information; no filler.

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: it names the evidence returned (dated proof, links, time frame) and the edge cases (missing accounts, ineligible signals). Scope limits are stated. Only pagination/default behavior is left implicit.

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%, so both parameters (limit, domains) are already documented. The description only restates that optional domains restrict the list and omits any mention of limit, adding essentially nothing beyond the schema, so the baseline 3 applies.

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 verb+resource: rank tracked accounts by saved open opportunities and an account score. The parenthetical explains the scoring dimensions (fit, timing, reach, 0-100). It does not name a sibling to distinguish itself from, so it stops 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 Guidelines4/5

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

Opens with concrete trigger phrasings ('who should I target', 'are these companies showing buying signals?') and closes with exclusions ('does not run fresh research or contact anyone'), which implies alternatives like score_buying_signal_evidence. No sibling is named explicitly, so it is clear context without full alternative routing.

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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