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Get recent competitor pricing changes

get_pricing_changes

Structured pricing/packaging changes IndustryLens has detected — each with a change_type, severity, materiality score, a plain-language summary, and the real detection date. Pass a competitor (name or domain) to scope to one company, or omit it for a recent pricing feed. The feed spans the markets IndustryLens publicly tracks. No other public source exposes structured competitor pricing-diffs like this.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax changes (default 20, max 50).
sinceNoISO date lower bound for detection (e.g. '2026-01-01'). Defaults to 90 days ago.
competitorNoCompetitor name or domain (e.g. 'Apollo' or 'apollo.io'). Omit for a market-wide recent pricing feed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well: it discloses that results include change_type, severity, materiality score, summary, and detection date, and clarifies the feed's market scope. It omits minor details like sorting or pagination, but the core behavior is transparent.

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 compact, front-loaded, and readable, with the key payload details in the first sentence. The final sentence about no other public source is more differentiation than operational guidance, which keeps it from being perfectly efficient.

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 read-only feed with fully described parameters and no output schema, the description covers output fields, scoping behavior, and market coverage. The main missing piece is explicit disambiguation from overlapping sibling tools, but the agent can still call the tool correctly.

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 100%, so the baseline is 3. The description reinforces the competitor parameter behavior and the omit-for-feed mode, but it adds little meaning beyond what the schema already documents for limit, since, and competitor.

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 clearly identifies the resource (structured pricing/packaging changes) and the action (get/receive), and enumerates the returned fields. However, it does not explicitly differentiate this tool from siblings like get_competitor_moves_diff, so it misses the top score.

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?

The description gives clear within-tool usage guidance: pass a competitor to scope, omit for a market-wide feed. It does not explain when to prefer this tool over the similar-looking sibling tools, so usage vs alternatives is only implied rather than explicit.

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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