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agent_crosswalk_pair

Everything about one crosswalk pair, including what was rejected

One framework pair in full: the coverage percentage and how it was arrived at, a sample of the claims that held with the reasoning behind each, and a sample of the claims that were proposed and refuted with the reason each failed.

The rejected claims are part of the answer, not an appendix. A coverage number quoted without them is a number nobody argued with.

Free, no authentication.

Responses:

200: Successful Response (Success Response) Content-Type: application/json

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sourceYes
targetYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

D1.6/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It reveals that the response includes both accepted and rejected claims and explains the coverage number's derivation, which is some transparency about the output content. However, it does not mention any side effects, authentication requirements, rate limits, or whether the operation is read-only, leaving significant behavioral aspects undisclosed.

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

Conciseness1/5

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

The description is verbose, repetitive, and poetic. Phrases like 'Everything about one crosswalk pair' and 'One framework pair in full: the coverage percentage...' convey the same idea redundantly. The unnecessary elaboration ('The rejected claims are part of the answer, not an appendix...') adds no value and obscures the core information, making it poorly structured and inefficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While the description provides some detail about the response content (including coverage percentage, accepted/refuted claims), it omits crucial context about the tool's purpose, parameters, and relationship to sibling tools. It is incomplete for an agent to understand the full scope and appropriate usage, especially given the absence of annotations and a clear schema explanation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description does not mention or explain any of the parameters (source, target, limit). It fails to define what 'source' and 'target' represent (likely framework identifiers) or how 'limit' affects the response. This leaves the agent without essential information to correctly invoke the tool.

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

Purpose2/5

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

The description states the tool returns 'everything about one crosswalk pair' and elaborates on coverage and claims, but it is vague and does not clearly specify the action (e.g., retrieve, fetch, get) or the exact nature of a 'crosswalk pair'. It fails to crisply define the tool's core function, leaving the reader with a general sense but not a precise purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives like agent_crosswalk_provenance or agent_crosswalk_refuted. It does not mention any selection criteria, use cases, or distinctions from sibling tools, leaving the agent without context to choose appropriately.

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

C2.9/5.0
Disambiguation2/5

Multiple tools cover overlapping crosswalk and coverage territory: agent_coverage_crosswalk, agent_coverage_report, agent_cross_framework_map, agent_crosswalk_pair, and agent_combined_coverage could all be chosen for similar questions. The near-duplicate agent_get_framework_controls and agent_get_framework_controls_by_name also creates avoidable ambiguity.

Naming Consistency3/5

All tools share the agent_ prefix and snake_case style, but the grammatical pattern is mixed: many are verb_noun (agent_buy_crosswalk, agent_search_courses, agent_get_framework), while others are noun phrases or descriptive fragments (agent_capital_by_function, agent_combined_coverage, agent_controls_touched_by, agent_signals_this_week). The convention is readable but not uniform.

Tool Count2/5

27 tools is above the 25-tool threshold and the set feels heavier than necessary because several crosswalk/coverage tools could be consolidated into a smaller family. The broad domain justifies variety, but the count is bloated by overlapping query surfaces and at least one redundant route.

Completeness4/5

The domain is well covered for a read-only compliance intelligence platform: framework discovery, control lookup, crosswalk analysis, course search, funding-signal exploration, and purchase-link generation are all present. Minor gaps exist, such as no direct way to inspect full control lists for arbitrary domains or retrieve mappings for a specific target control, but agents can generally work around them.