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whats_changed

What actually MOVED, on a list of companies you name or across the whole record. Answers the question a person with a book of accounts has every morning: which of mine changed, and is anyone suddenly ramping? Returns NET movement, because a company that opened 342 roles and closed 317 is churning and one that opened 261 and closed 41 is hiring -- and flags a board whose VERDICT flipped, which is a budget unfreezing and the strongest signal in this data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoWindow, default 7
limitNo
companiesNoCompany names to watch. Omit for the whole market.

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explicitly states that it returns NET movement (not gross) and explains the rationale with concrete examples, and it discloses the verdict-flip flag as a special signal. This goes beyond a simple 'returns changes' and gives the agent insight into the tool's logic and output semantics.

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?

The description is front-loaded with the core purpose ('What actually MOVED') and each sentence adds value. It includes a vivid metaphor and examples that clarify the net-movement logic, but it is slightly verbose. Still, it is well-structured and not padded with irrelevant details.

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?

For a 3-parameter tool with no output schema, the description covers the key behaviors (net movement, verdict flip) and the main use case. It does not detail the exact return structure or pagination, but it likely suffices for an agent to call it correctly. The 'limit' parameter remains ambiguous, but overall the description is fairly complete.

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 coverage is 67% (days and companies documented, limit not). The description adds meaning for 'companies' by mentioning 'on a list of companies you name or across the whole record', which explains the omit behavior. However, it does not explain 'days' or 'limit' beyond what the schema provides (days has a default, limit undefined). It partially compensates but leaves gaps.

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

Purpose5/5

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

The description states a specific verb ('MOVED', 'Returns NET movement', 'flags') and a clear resource (changes on named companies or the whole record). It distinguishes itself from siblings by focusing on movement and net change, with a clear user story (book of accounts, morning check). Even without naming alternatives, the purpose is unmistakable.

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?

The description implies a clear usage context: to find which companies changed and whether anyone is ramping. It describes the exact question it answers ('which of mine changed, and is anyone suddenly ramping?'), giving a concrete scenario. It does not explicitly name alternatives or exclusions, but the context is strong enough to guide an agent.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool answers a clearly distinct question: company-specific verdict, fresh boards, quiet boards, market-level stats, job search, and change tracking. There is no meaningful overlap between tool purposes.

Naming Consistency3/5

Four tools follow a verb-first pattern (check_company, find_fresh_boards, find_quiet_boards, search_jobs), but hiring_stats is a noun phrase and whats_changed is question-style. The names are readable but not fully predictable.

Tool Count5/5

Six tools is well-scoped for a hiring intelligence server. Each tool covers a distinct aspect of the domain without redundancy or bloat.

Completeness5/5

The surface covers the core workflows: searching jobs, evaluating a single company, surfacing fresh versus quiet boards, viewing market stats, and monitoring changes. No obvious dead ends or missing critical operations for the stated purpose.

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