Deterministic MiniMindsLab utilities for AI agents over MCP.
Scored across 8 tools
Each tool targets a specific niche, but there is some overlap between accessibility tools (accessible-name and ARIA checker) and between JSON/API diff tools (contract vs schema diff). Descriptions are detailed enough to distinguish them, but an agent might occasionally misselect between similar-sounding options.
All tool names follow a consistent lowercase hyphenated pattern with a descriptive prefix and a tool-type suffix (diff-viewer, checker, tester, inspector, reconciler). This is coherent, though it does not follow the standard verb_noun convention, and some names are quite long.
With 8 tools, the server feels well-scoped for a multi-purpose analysis toolkit. The count is neither too thin nor bloated, and each tool appears to serve a distinct utility purpose.
For the various niches covered, the tool surface is reasonably complete—accessibility has both static and regression checks, API/JSON have multiple complementary validators, and spreadsheets have conflict reconciliation. Minor gaps exist (e.g., no general-purpose JSON formatter or accessibility audit tool), but these are not critical dead ends.
Teams need to know when a code change silently breaks accessible names, labels, or descriptions on interactive elements.
| Name | Required | Description | Default |
|---|---|---|---|
| new_dom_snippet | Yes | Required. Must contain a non-empty HTML or DOM fragment. Plain text is treated as literal markup input, not rendered content. | |
| old_dom_snippet | Yes | Required. Must contain a non-empty HTML or DOM fragment. Plain text is treated as literal markup input, not rendered content. | |
| match_by_selector | Yes | When true, element matching prefers stable CSS-like selector identity when available; otherwise fallback matching is used. | |
| show_element_paths | Yes | When true, output includes deterministic element path strings for matched and problematic nodes. | |
| include_description | Yes | When true, compare accessible descriptions in addition to accessible names and labels. |
| Name | Required | Description |
|---|---|---|
| regression_list | No | |
| ambiguous_elements | No | |
| missing_label_list | No | |
| element_path_report | No | |
| accessibility_summary | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already state that the tool is read-only and idempotent, so the safety profile is structurally provided. The description adds context about 'silent' breakage but does not disclose matching behavior or fallback semantics; those are only partially present in the parameter descriptions.
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, filler-free sentence, so it is not bloated. However, it fronts a team need rather than the tool's operation, making it less crisp and less immediately informative than a verb-first statement with the same length.
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 output schema, complete input-schema documentation, and annotations carry much of the operational context, so this is not an incomplete definition overall. The missing direct statement of what the tool does and when to prefer it over the sibling HTML/ARIA checker keeps it at the minimum viable level.
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%, and the parameter descriptions already explain requiredness, type, and effects (for example, match_by_selector selects selector-identity matching vs fallback). The description itself contributes no parameter-level meaning, so it earns the baseline for high schema coverage.
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 identifies the domain (accessible names, labels, and descriptions on interactive elements) and the trigger (a code change), so an agent can broadly infer a regression-detection role. However, it is phrased as a team need rather than a direct operation such as 'Compares' or 'Detects', and it does not explicitly separate this tool from the nearby html-duplicate-id-and-aria-reference-checker.
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 phrase 'when a code change silently breaks accessible names...' gives an implied use case for comparing old and new DOM states. There is no explicit guidance about alternatives, prerequisites, or when not to use this tool, which matters because sibling tools cover overlapping HTML-accessibility concerns.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Developers need to know whether a new API contract breaks existing clients before they merge or publish it.
| Name | Required | Description | Default |
|---|---|---|---|
| strict_mode | Yes | When true, treat type changes, removed required fields, removed paths, enum narrowing, and object-to-non-object changes as breaking. When false, still report them but additive changes may be separated more prominently. | |
| new_contract_json | Yes | Must be valid JSON text representing the proposed contract version. The tool must reject empty input and invalid JSON with a parse error. | |
| old_contract_json | Yes | Must be valid JSON text representing the previous contract version. The tool must reject empty input and invalid JSON with a parse error. | |
| show_path_details | Yes | When true, include full normalized JSON paths for every finding. When false, keep messages concise while preserving path references in structured results. | |
| ignore_additive_changes | Yes | When true, do not include new optional fields, new array members in additive-only contexts, or other non-breaking additions in the visible change lists. |
| Name | Required | Description |
|---|---|---|
| missing_paths | No | |
| enum_violations | No | |
| breaking_changes | No | |
| type_mismatch_paths | No | |
| compatibility_status | No | |
| non_breaking_changes | No | |
| compatibility_summary | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. However, the description adds no behavioral context beyond that—it does not explain what the tool computes, how breaking changes are determined, whether it normalizes inputs, or what the output contains. The description is a problem statement, not a behavior disclosure.
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 short sentence, so it is not verbose, but it does not earn its place as a tool description. It conveys a stakeholder motivation rather than actionable information about the tool's function, inputs, or behavior. Conciseness without substance is under-specification.
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?
With five required parameters, an output schema, and at least one closely related sibling tool, the description omits critical context: what operation the tool performs, when it should be selected, and how it differs from other contract-checking tools. The schema and annotations are rich, but the description itself leaves the agent without enough functional context to confidently invoke the tool.
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%, and each of the five parameters is documented with meaningful semantics, including strict_mode, ignore_additive_changes, and validation requirements for the JSON inputs. The description itself adds no parameter-level detail, but the schema carries the full burden effectively, so the baseline score of 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?
The description communicates a developer need ('know whether a new API contract breaks existing clients') but never states the tool's action or output in operational terms—there is no verb like 'compare,' 'diff,' or 'report.' It is a vague statement of intent rather than a precise tool description, and it does not distinguish this tool from the similarly named sibling json-contract-compatibility-checker.
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 no guidance on when to use this tool versus alternatives. It does not mention the sibling json-contract-compatibility-checker or json-schema-vs-sample-payload-diff-checker, nor does it state when one should choose API-breaking-change-diff-viewer over them. An agent is left to infer usage entirely from the tool name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Estimates whether a name badge is readable at social distance and flags text that will likely feel too small or too crowded.
| Name | Required | Description | Default |
|---|---|---|---|
| name_text | Yes | Text is required. Leading and trailing whitespace are trimmed. Empty after trimming is invalid. | |
| role_text | No | Optional text. If provided, it is trimmed. Empty string is treated as blank. | |
| company_text | Yes | Text is required. Leading and trailing whitespace are trimmed. Empty after trimming is invalid. | |
| font_size_pt | Yes | Must be a finite number between 6 and 72. Non-numeric or out-of-range values are invalid. | |
| badge_width_mm | Yes | Must be a finite number between 20 and 300. Values outside the range are invalid. | |
| viewing_distance_cm | Yes | Must be a finite number between 20 and 500. Values outside the range are invalid. |
| Name | Required | Description |
|---|---|---|
| sizing_notes | No | |
| badge_summary | No | |
| crowding_warnings | No | |
| readability_score | No | |
| line_break_suggestions | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, and the description is consistent with them (an estimation operation has no side effects). The description adds genuine behavioral context beyond the annotations: the tool produces a readability estimate and actively flags problem text as 'too small or too crowded,' which tells the agent what kind of output behavior to expect. 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?
A single sentence of roughly 20 words that front-loads the primary action ('Estimates whether a name badge is readable at social distance') and appends the secondary flagging behavior. Every word earns its place; there is no repetition of the title or schema content. This is model conciseness.
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 a moderate 6-parameter complexity, but the output schema documents return values, the annotations cover safety/idempotency, and the schema covers all parameter semantics at 100% coverage. The description completes the picture by stating the evaluation purpose and flagging behavior. The only minor gap is the absence of usage guidance, but the full package is nearly complete for correct selection and invocation.
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 detailed per-parameter documentation covering ranges, trimming behavior, and required/optional status, so the schema carries the full burden. The description adds only indirect semantic context — 'too small' maps to font_size_pt and 'too crowded' to badge_width_mm — but no parameter-level detail beyond what the schema already provides. 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?
The description states a specific verb and resource: it 'estimates whether a name badge is readable at social distance' and 'flags text' that is too small or crowded. This is a precise, unambiguous purpose that clearly distinguishes the tool from its siblings, which operate in the completely different domain of JSON contract and payload-diff checking.
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 intended use is implied by the domain — testing badge layouts for readability — and the sibling tools are so unrelated that an agent is unlikely to confuse them. However, the description gives no explicit when-to-use or when-not-to-use guidance, no prerequisites (e.g., needing a badge design draft), and no mention of alternatives. This is acceptable but not actively instructive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frontend developers need to understand why an element is visually hidden behind another even when z-index seems correct.
| Name | Required | Description | Default |
|---|---|---|---|
| css_snippet | Yes | Required. Must contain one or more CSS rules. Trim leading and trailing whitespace. If empty, show a validation error and do not compute results. | |
| html_snippet | Yes | Required. Must contain HTML markup for the inspected layout. Trim leading and trailing whitespace. If empty, show a validation error and do not compute results. | |
| selected_element | Yes | Required. Must be a CSS selector or element reference token that matches at least one element in the provided HTML snippet. If no match is found, return a selection error. | |
| show_paint_order | Yes | Boolean flag. When true, include a paint order trace. When false, omit the detailed trace but still compute the main layering explanation. | |
| show_stacking_context_chain | Yes | Boolean flag. When true, include the ancestry of stacking context creators from root to selected element. When false, include only the summarized cause. |
| Name | Required | Description |
|---|---|---|
| likely_fix_hints | No | |
| paint_order_trace | No | |
| diagnostic_summary | No | |
| layering_explanation | No | |
| stacking_context_chain | No | |
| clipping_and_containment_warnings | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that: no mention that inputs are validated (empty CSS/HTML produces errors), that no match on selected_element yields a selection error, or what the computation yields. It does not contradict the annotations, but it contributes no behavioral context.
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?
It is a single short sentence, so length is not the problem. But the sentence does not earn its place: it is front-loaded with a user-need framing instead of the tool's function, giving the agent nothing actionable. Brevity here reflects under-specification rather than efficient concision.
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?
An output schema exists, so return values need not be explained, and the schema fully documents the five required inputs. Even so, for a diagnostic tool of this complexity the description omits the core operation entirely, leaving an agent unable to tell what the tool computes or how its output differs from sibling inspectors.
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 all five parameters (including the two boolean toggles for paint order and stacking-context chain) are already fully documented in the schema. The description adds no syntax, format, or semantics beyond that, so the baseline 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 sentence describes a developer pain point ('why an element is visually hidden behind another even when z-index seems correct') rather than stating what the tool does. It never supplies an action verb such as analyze, explain, or trace, nor names the resource (stacking contexts / paint order) it operates on. It largely restates the title's domain, so an agent cannot tell what the tool actually returns or does.
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 z-index debugging scenario implicitly signals when the tool is relevant, which is adequate implied usage. However, it gives no explicit when-to-use conditions, no prerequisites, and never distinguishes this tool from the sibling diagnostic tools (e.g., api-breaking-change-diff-viewer, html-duplicate-id-and-aria-reference-checker).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Developers need to catch duplicate IDs and broken ARIA relationships that silently break accessibility and scripting.
| Name | Required | Description | Default |
|---|---|---|---|
| html_snippet | Yes | Accept raw HTML or DOM snippet text. Must be non-empty after trimming. Parse as HTML fragment in document order. Script execution is never allowed. | |
| show_element_paths | Yes | When true, include stable element paths for duplicate and broken-reference findings. When false, path fields are omitted from per-finding detail but summary counts still compute. | |
| check_duplicate_ids | Yes | When true, report every duplicated id value with all matching element locations. When false, duplicate-id analysis is skipped and duplicate outputs are empty. | |
| check_aria_references | Yes | When true, scan ARIA ID reference attributes and validate each referenced id against the parsed fragment. When false, aria-reference analysis is skipped and broken-reference outputs are empty. |
| Name | Required | Description |
|---|---|---|
| validation_status | No | |
| duplicate_id_groups | No | |
| element_path_report | No | |
| missing_target_list | No | |
| broken_aria_references | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already disclose the key behavioral traits (readOnlyHint=true, idempotentHint=true, openWorldHint=false), and the description does not contradict them. The parameter descriptions add useful behavioral notes such as 'Script execution is never allowed' and parse-as-HTML-fragment behavior, but the main description itself contributes no additional transparency about side effects, safety, or operational 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 a single, tightly worded sentence that front-loads the core purpose (catching duplicate IDs and broken ARIA relationships) with no filler, redundancy, or extraneous detail. It is appropriately sized for a checker tool with straightforward scope.
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 rich parameter schema, the read-only/idempotent annotations, and the presence of an output schema (so return values need not be explained), the description is largely sufficient. It conveys the checking scope clearly; minor gaps exist in that it does not explicitly frame the tool as a validator/analyzer or mention the boolean toggles, but these are covered by the schema.
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 coverage is 100% — all four parameters (html_snippet, check_duplicate_ids, check_aria_references, show_element_paths) have detailed descriptions including conditional behavior ('When true... when false...'). Since coverage exceeds 80%, the baseline of 3 applies; the tool description adds no per-parameter meaning beyond what the schema already documents.
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 conveys the domain and purpose — catching duplicate IDs and broken ARIA references in HTML — and the tool name reinforces this. It differentiates well from sibling tools, which all target unrelated domains (API diffs, badge readability, JSON contract checks). However, it is phrased as a developer need ('Developers need to catch...') rather than an explicit action statement with a direct verb describing what the tool does.
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 no guidance on when to use this tool versus alternatives. It does not mention suitable scenarios, prerequisites, or when not to use it, nor does it compare against sibling tools. The parameter descriptions hint at toggle behavior, but no explicit usage context is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Developers need to confirm that a sample API response still matches a contract, including required fields, type expectations, enum constraints, and unexpected shape changes.
| Name | Required | Description | Default |
|---|---|---|---|
| sample_json | Yes | Must be valid JSON text. The sample must be a JSON object, array, string, number, boolean, or null. Missing or invalid JSON must produce a parse error. | |
| strict_mode | Yes | When true, extra paths not allowed by the contract are reported as mismatches whenever additionalProperties is false or omitted for object branches that define properties. When false, extra paths are still listed in extra_paths but do not change overall compatibility unless another required rule fails. | |
| contract_json | Yes | Must be valid JSON text. The contract must be an object. Supported contract keys are name/title, type, required, properties, items, enum, const, additionalProperties, and nested combinations of those. Missing or invalid JSON must produce a parse error. | |
| show_path_details | Yes | When true, mismatch outputs must include explicit JSONPath-like paths such as $.user.name. When false, the report may summarize issues without omitting the required output lists. |
| Name | Required | Description |
|---|---|---|
| extra_paths | No | |
| missing_paths | No | |
| enum_violations | No | |
| type_mismatch_paths | No | |
| compatibility_status | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, and closed-world behavior, so the safety profile is covered. The description adds useful context about what the checker evaluates (required fields, types, enums, shape changes), but it does not describe operational behavior such as failure modes, output structure, or anything beyond the 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 a single, focused sentence with no wasted words. It is slightly indirect by framing the tool as a developer need rather than an imperative, but it remains concise and adequately structured.
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 input schema is highly detailed and output schema is present, so the structured information covers invocation details and return shape. The main gap is the lack of differentiation from the sibling json-schema diff checker, but the tool definition is otherwise complete enough 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?
Schema description coverage is 100%, so the parameters are already thoroughly documented with constraints and parse-error behavior. The description adds no parameter-specific meaning, so the baseline score of 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?
The description clearly states the tool's purpose: confirming that a sample API response matches a contract, specifically calling out required fields, type expectations, enum constraints, and shape changes. This is a specific verb plus resource, but it does not explicitly distinguish itself from the similar sibling json-schema-vs-sample-payload-diff-checker.
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: use this tool when you need to validate a sample response against a contract. However, it gives no explicit when-not-to-use guidance and no differentiation from the closely related sibling tool, leaving the agent to infer the boundary between them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
API builders need to see exactly where a sample payload violates a schema or where the schema does not describe real data.
| Name | Required | Description | Default |
|---|---|---|---|
| show_paths | Yes | When true, include JSON Pointer-style instance paths for every mismatch. When false, still compute paths internally but present concise grouped results. | |
| json_schema | Yes | Must be valid JSON text representing a JSON Schema document. If parsing fails, show a schema parse error and skip comparison. | |
| sample_json | Yes | Must be valid JSON text representing an instance payload. If parsing fails, show a sample parse error and skip comparison. | |
| strict_types | Yes | When true, require exact JSON type matches for object, array, string, number, integer, boolean, and null. Integers must still be numbers with no fractional component. When false, permit only JSON Schema-compatible numeric coercion is not performed; comparison remains type-based but integer and number mismatches are reported with lower severity in the summary only. | |
| additional_properties_mode | Yes | Controls handling of object properties not declared by the schema. schema_default uses the schema's own additionalProperties / unevaluatedProperties rules where supported by the tool. allow ignores extra-property violations. forbid reports extra-property paths even if the schema is permissive. |
| Name | Required | Description |
|---|---|---|
| summary | No | |
| enum_violations | No | |
| validation_status | No | |
| missing_field_paths | No | |
| type_mismatch_paths | No | |
| extra_property_paths | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds a useful behavioral detail: the tool checks both directions, payload-to-schema and schema-to-payload. However, it does not describe output structure, error behavior beyond schema descriptions, or other operational traits.
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 one concise sentence with no filler. It is front-loaded with the core value proposition. It is slightly too brief to cover usage context, but as a statement of purpose it is efficient and readable.
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, rich parameter descriptions, and safety annotations, so the description does not need to repeat those. The remaining gap is selection context: an agent gets no help deciding between this tool and json-contract-compatibility-checker. Overall it is adequate but not complete.
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 input schema already documents every parameter in detail. The tool description adds no additional parameter-level meaning. A baseline of 3 is appropriate given that the schema carries the full semantic load.
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 identifies a specific purpose: finding where a sample payload violates a JSON Schema and where the schema fails to describe the sample. This is more informative than a tautology and aligns with the tool's name. However, it does not explicitly distinguish itself from the sibling tool json-contract-compatibility-checker, so it stops short of a 5.
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?
No guidance is given about when to prefer this tool over the sibling json-contract-compatibility-checker, nor are any prerequisites or typical scenarios stated. The description implies a use case but does not say when to use this tool vs alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Teams need to reconcile two spreadsheet versions and see what changed, what conflicts, and which rows or columns need manual review.
| Name | Required | Description | Default |
|---|---|---|---|
| sheet_a | Yes | Paste or upload the first sheet snapshot as tabular text. Accept CSV-style or TSV-style rows with a header row. Must contain at least one data row and one header row. | |
| sheet_b | Yes | Paste or upload the second sheet snapshot as tabular text. Accept CSV-style or TSV-style rows with a header row. Must contain at least one data row and one header row. | |
| match_keys | Yes | Provide one or more column names used to match rows between Sheet A and Sheet B. Separate multiple keys with commas, semicolons, or new lines. Each key must exist in both sheets after normalization. | |
| case_sensitive | Yes | When false, row key matching and field comparisons ignore letter case. When true, comparisons preserve letter case exactly. | |
| trim_whitespace | Yes | When true, leading and trailing whitespace is removed from headers, keys, and cell values before matching and comparison. Internal spaces are preserved. |
| Name | Required | Description |
|---|---|---|
| added_rows | No | |
| removed_rows | No | |
| conflict_rows | No | |
| cell_differences | No | |
| reconciliation_summary | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations include readOnlyHint: true, idempotentHint: true, and openWorldHint: false. The description does not contradict these. It adds context that the tool performs reconciliation, which implies read-only analysis and no side effects, but it does not explicitly disclose that it does not modify input sheets or that it produces a report. Given the safety profile is already covered by annotations, the description's additional context about manual review is useful but minimal.
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 sentence, concise and front-loaded with the purpose. It communicates the core value proposition in under 20 words, with no filler. However, it lacks structured guidance that could help an agent (e.g., input requirements or output summary), but that is covered by schema and output schema. It is efficient and 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?
Given the tool's moderate complexity (5 params with detailed schema descriptions) and the presence of an output schema, the description provides sufficient context for an agent to select the tool. It covers the primary use case and expected outcomes. It does not detail specific reconciliation rules or conflict resolution logic, but the schema and output schema likely fill those gaps, so it is complete enough for a typical agent.
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 input schema has 100% coverage, with detailed descriptions for each of the 5 parameters that explain formats (CSV/TSV), matching rules (comma/semicolon/newline separation), and behavioral flags (case_sensitive and trim_whitespace). The description does not add further parameter-level details, but since the schema does the heavy lifting, a baseline of 3 is correct.
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's purpose: to reconcile two spreadsheet versions and identify changes, conflicts, and rows/columns needing manual review. It uses a specific verb ('reconcile') and resource ('spreadsheet versions'), and mentions key outputs (changed rows, conflicts, manual review). It distinguishes from siblings which focus on other diff types (API breaking changes, CSS, HTML, JSON contract) but does not explicitly name an alternative tool, so a 4 is appropriate.
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 when to use it: when teams need to reconcile two spreadsheet versions, which is a clear use case. It implicitly differentiates from siblings by focusing on spreadsheets, but it does not explicitly state when not to use it or mention alternatives. Given that sibling names are clearly about different domains, the context is clear enough, but explicit exclusions would elevate it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
spreadsheet-merge-conflict-reconcileraccessible-name-and-label-regression-diffcss-stacking-context-inspectorhtml-duplicate-id-and-aria-reference-checkerapi-breaking-change-diff-viewerconference-badge-readability-testerjson-contract-compatibility-checkerjson-schema-vs-sample-payload-diff-checkerDeterministic reasoning stack for AI agents: simulate, decide & compute, plus cross-domain tools.
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