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CdpHub

Check a stack

check_stack
Read-onlyIdempotent

Check a stack of two to ten tools against every CDP in CdpHub's directory, as the stack check on cdphub.com does: how many CDPs list all of them and which, those CDPs grouped by how they connect to each tool with each group counted, the CDPs that miss exactly one tool grouped by the tool they miss, and a link to the same check on cdphub.com. Use it for any question about two or more tools together, such as which CDPs fit a company's stack.

Input Schema

NameRequiredDescriptionDefault
toolsYesThe tools, for example ["Shopify", "Klaviyo", "Snowflake"]: two to ten.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world, non-destructive behavior, so the safety profile is covered. The description goes further by enumerating what the response contains (CDPs listing all tools, groups by connection type with counts, near-misses by missing tool, and a link), which is genuinely useful given there is no output schema. It omits any error or edge behavior (e.g., unknown tool names), so not a 5.

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-loaded with the verb and scope, and each clause describes a distinct part of the output. It is a single dense sentence whose tail ('and a link to the same check on cdphub.com') is arguably low-value for an agent, but nothing is wasted overall.

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?

For a read-only aggregate query with one fully documented parameter and no output schema, the definition tells the agent what goes in, what comes out, and when to reach for it. Nothing an agent needs in order to call it correctly 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% and already states 'two to ten' with an example array. The description's mention of the two-to-ten range and the tool-set nature adds 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.

Purpose5/5

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

States a specific verb and resource ('Check a stack of two to ten tools against every CDP') with the exact scope and the reference behavior it mirrors (the stack check on cdphub.com). It is clearly distinguishable from siblings like compare_cdps or get_tool, which operate on single or pairwise entities.

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?

Explicitly says 'Use it for any question about two or more tools together, such as which CDPs fit a company's stack,' which gives a clear selection rule. It does not name the sibling tools it replaces or state when not to use it, so it falls short of a 5.

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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