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. The description adds valuable behavioral context: it is a local operation, never calls the network, and works in the docs profile. This goes beyond the annotations and helps an agent understand execution constraints.

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

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

The description is two sentences with no wasted words. It front-loads the core purpose, then adds the key constraints (local, no network, docs profile). Every sentence earns its place.

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

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

The tool has an output schema, so return values are already documented. The description covers the tool's scope, constraints, and relationship to the X12 dictionary. It could mention what happens when no match is found or how the cross-refs are presented, but given the output schema and annotations, the description is sufficiently complete for an agent to select and invoke the tool correctly.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters. The description does not add additional meaning beyond the schema, but it does mention 'lookup_x12 cross-refs' which hints at how the code parameter relates to the dictionary. Baseline 3 is appropriate since the schema carries the parameter documentation burden.

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

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

The description states a specific verb ('Explain') and resource ('EDI validation or functional-ack error') and explicitly distinguishes itself from siblings by mentioning 'lookup_x12 cross-refs' and 'local X12 dictionary'. It clearly identifies what the tool does and how it differs from related tools.

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

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

The description provides clear context for when to use the tool: for EDI validation or functional-ack errors, using the local X12 dictionary. It also states what it does not do ('Never calls the network') and where it works ('docs profile'). However, it does not explicitly name alternative tools or conditions for when not to use it, though the sibling list and cross-ref mention imply alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Beyond the annotations (readOnlyHint, idempotentHint, destructiveHint), the description discloses specific behaviors: uses environment-variable placeholders, synthetic values, sets outbound environment to SANDBOX, refuses production hosts, and never embeds credentials. This adds substantial safety-relevant context that annotations alone do not convey.

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

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

Two sentences, front-loaded with the main purpose and followed by safety guarantees. Every clause earns its place with no filler, making it easy for an agent to parse quickly.

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

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

For a tool with 3 enums and a oneOf schema, the description covers the essential context (sandbox safety, read-only local behavior, output format). The output schema exists and the oneOf constraints are in the input schema, so the description does not need to reiterate them. Minor gap: it does not explicitly state that no network call is made, though 'local read-only' implies it.

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

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

Schema description coverage is only 33% (documentType has a description), so the description must partially compensate. It does clarify the language parameter ('cURL, Node.js, or Python') and hints at operation via 'outbound environment', but it does not explicitly explain the operation or documentType enums or the oneOf constraint. It adds some value but leaves gaps.

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

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

The description states a specific verb ('Generate'), a concrete resource ('cURL, Node.js, or Python example for the current SignalEDI REST contract'), and scopes it as sandbox-safe. It is clearly distinct from sibling generate_test_document, which likely produces test EDI payloads rather than client code examples.

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

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

The description gives context (sandbox-safe, current REST contract) and implies use for generating client examples, but it does not explicitly name when to prefer this tool over alternatives like generate_test_document or search_docs, nor does it state exclusions. Usage is implied rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description reinforces 'Local read-only operation.' It adds valuable behavioral context beyond annotations: refusal behavior for non-supported standards, the 'honest capability label' return, and parameter applicability rules. No contradiction with annotations.

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

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

The description is compact (three sentences) and front-loaded with the core purpose. Each sentence earns its place: purpose, capability label, parameter scoping, and operational constraints. No redundancy or filler.

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

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

The tool is simple (2 params, 1 required, nested overrides) and the description covers the essential behavior: what it generates, which types are supported, how parameters apply, what it refuses, and that it is local and read-only. The presence of an output schema covers return structure, so the description is complete for an agent to select and call it correctly.

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

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

Schema description coverage is 50%, and the description compensates by explaining that controlNumber and primary date apply to every fixture, while poNumber applies only to 850 and 810. This adds meaning beyond the raw schema, which only gives per-parameter descriptions for type and date. The description also clarifies the 837 meaning as Professional 005010X222A1.

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

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

The description clearly states the tool renders synthetic X12 samples for specific transaction types (850/810/856 baseline, 837 Professional partial), with a specific verb ('render') and resource ('synthetic X12 sample'). It also names the capability label return, distinguishing it from sibling tools like search_docs or lookup_x12, which serve different purposes.

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

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

The description provides clear usage context: it is local-only, works in the docs profile, and explicitly refuses EDIFACT, HL7, and unknown sets. It also clarifies which parameters apply to which fixture types. While it doesn't explicitly contrast with alternatives, the tool's unique role as the only generator among siblings makes the usage context clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations already establish read-only, idempotent, and non-destructive behavior, so the bar is lower. The description adds useful behavioral context around unsupported formats, the 'honest capability label' return behavior, and the local-inventory scope. There is no contradiction with annotations.

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

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

The description is compact and front-loaded, with the core operation in the first sentence. 'Local read-only operation' is somewhat redundant with annotations, and 'honest capability label' is slightly vague, but there is little wasted space overall.

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

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

For a one-parameter, read-only, idempotent tool with an output schema and strong annotations, the description covers scope, unsupported inputs, and its boundary versus an implementation guide. Nothing critical is missing for an agent to call it correctly.

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

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

The single parameter is already fully documented in the schema, including allowed values and the meaning of 837. The description mostly restates those values, only adding the 'partial' nuance, so it hovers at the baseline expected when schema description coverage is high.

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

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

The description names the exact operation and resource: 'Get a public X12 starter schema for the local inventory' and scopes it to 850/810/856 baseline plus 837 Professional partial. It also distinguishes itself from a trading-partner implementation guide, which clarifies what this tool is not.

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

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

The description gives clear boundaries: it is explicitly not a trading-partner implementation guide and refuses EDIFACT, HL7, and unknown sets. It does not explicitly name sibling alternatives like lookup_x12, but the context is strong enough for an agent to understand when this tool applies.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds 'Local read-only operation,' which is consistent and adds minor context (local implies no remote calls). It also specifies the covered dictionaries, but does not disclose additional behaviors like error handling or response format, which are partly covered by the 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.

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

The description is a single, compact sentence that leads with the alias and then the core purpose. Every word adds value, with no redundancy or filler.

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

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

Given the presence of an output schema and comprehensive annotations, the description is mostly complete. It specifies the exact dictionaries and notes it is local and read-only, which is sufficient for an agent to call it correctly. It does not mention that either 'query' or 'element' is required, but that is already encoded in the schema via anyOf.

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

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

Schema description coverage is 100%, with both 'query' and 'element' parameters having detailed descriptions in the schema. The tool description adds no extra parameter semantics beyond what the schema already provides, so the baseline score of 3 applies.

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

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

The description clearly states the tool is an alias for lookup_x12 and specifies its function: searching segment maps and ack codes within 850/810/856/837 dictionaries. It uses a specific verb ('search') and resource ('segment maps and ack codes'), and the mention of being an alias distinguishes it from other tools like search_docs or explain_edi_error.

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

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

The description notes it is an alias for lookup_x12 but provides no guidance on when to use this tool versus alternatives. It does not mention conditions for choosing it over search_docs, get_document_schema, or other siblings, nor does it offer exclusions or preferred scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful context about execution scope ('local only') and environment ('works in the docs profile'), and notes it's a read-only operation. This goes beyond what annotations provide, so it earns a 4.

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

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

The first sentence is crisp and informative. The second and third sentences overlap ('local only' vs 'local read-only operation'), creating mild redundancy. The description could be tightened without losing meaning, so it's acceptable but not exemplary.

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

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

The description is sufficient for a single-parameter read-only lookup tool with an output schema. It covers query types, scope, and environment; the output schema handles return value details. It doesn't address differentiating from siblings, but that's not essential for calling the tool correctly.

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

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

The schema's 100% description coverage sets a baseline of 3. The description adds value by specifying that the query can be free text for segment names and purposes, which expands on the schema's 'keyword' and clarifies that searches are not limited to exact codes.

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

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

The description clearly states the tool searches a local X12 dictionary with specific query types (segment id, ack code, free text). It distinguishes its scope with 'local only' and 'works in the docs profile,' but it doesn't explicitly name sibling tools to prevent confusion, so it's clear but not maximally differentiating.

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

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

The description implies usage by describing the search and local scope, but it doesn't provide explicit guidance on when to use this tool instead of siblings like lookup_element_definition or search_docs. It mentions 'local only' and 'docs profile' as context for availability, but there is no when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds useful behavior beyond those: it is a local read-only operation, scoped to the bundled public index, and returns authoritative MCP resource URIs and snippets while explicitly not searching customer data or private guides. No contradiction with annotations.

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

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

Two tight sentences with no filler. The first sentence names the action and scope; the second states the return type and exclusions. Information is front-loaded and every sentence earns its place.

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

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

For a simple two-parameter search tool with a full input schema and output schema, the description covers the scope, return content, and exclusions. An agent has enough context to call the tool correctly without needing additional explanation.

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

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

Input schema description coverage is 100%, with clear descriptions for both query and limit, including default and bounds. The description does not add much parameter-specific semantics beyond the schema, so the baseline 3 is appropriate.

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

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

Description names the specific action ('Search'), the resource ('bundled public SignalEDI developer index'), and the output ('authoritative MCP resource URIs and short snippets'). It also explicitly excludes customer data and private partner guides, which helps distinguish it from broad retrieval or sibling lookups like lookup_x12 and lookup_element_definition.

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

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

The description gives a clear scope and states what it does not search (customer data, private guides), which is a useful boundary. However, it does not explicitly name or route to any sibling alternative for structured lookups (e.g., lookup_x12 or get_document_schema), so when-to-use guidance remains mostly implied rather than fully explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.