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Recent AI deployments

recent_deployments
Read-onlyIdempotent

The newest rows to enter The Deploy Log, newest first. Optionally one lane or one company. Each row names what shipped, when, and the publisher's own source URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
laneNoOne lane: models_apis (Models and APIs), tools_products (Tools and products), robotics_hardware_chips (Robotics, hardware and chips), breakthroughs (Breakthroughs), funding_acquisitions (Funding and acquisitions)
limitNoHow many rows, 1 to 25, default 10
companyNoA company's name as the record writes it, for example OpenAI or Google

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered structurally. The description adds genuinely useful behavior beyond that: results are sorted newest-first, and each row carries what shipped, when, and the publisher's own source URL, which tells the agent what the return payload looks like without an output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, zero filler, with the core identity and ordering front-loaded before the optional filter and row-shape details. Every clause earns its place.

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 compensates by describing the returned row contents, and read-only annotations cover the mutation question. It stops short of mentioning the limit default of 10 or maximum of 25, but those live in the schema, so nothing essential is missing.

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 lane, limit and company are already fully documented, which sets the baseline at 3. The phrase 'optionally one lane or one company' adds a small semantic nuance (these filters are typically applied singly), but it does not clarify defaults or combinability beyond what the schema already states.

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 states a concrete resource (the newest rows in The Deploy Log) and an explicit ordering (newest first), so an agent knows it returns a reverse-chronological feed rather than a search result. It does not name its siblings (deployments_in_week, search_deployments), so the distinction is implied by 'newest' rather than stated.

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?

'Optionally one lane or one company' implies how to narrow the feed, which is a usable usage hint. However, there is no explicit when-to-use guidance and no mention of when to prefer search_deployments or deployments_in_week over this tool, leaving routing to inference.

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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