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

With no annotations, the description carries the full burden. The wording "Generates..." and "to advise" implies a non-mutating, read-only advisory operation and "deterministic" signals reproducible output, which is meaningful context. It does not state permissions, whether it modifies the contradiction record, or any side effects.

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?

One dense, front-loaded sentence with no filler or repetition. It is slightly jargon-heavy ("authority and freshness scoring") but every clause contributes to the purpose.

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 single-parameter tool with no output schema and no annotations, the description should at least characterize the shape of the advice returned. It gestures at a "scoring comparison" but leaves the output form and the advisory-vs-actionable distinction underspecified.

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 single contradictionId parameter is fully documented in the schema, so baseline is 3. The description adds no extra meaning about how the ID is used or what happens if it is unknown.

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 ("Generates") and a concrete mechanism ("deterministic authority and freshness scoring comparison") with the goal of advising which claim is current truth. It is clear on its own but never distinguishes itself from close siblings such as resolve_contradiction or explain_claim_relationship.

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?

There is no when-to-use guidance, no statement of prerequisites (e.g., that a contradiction must already exist), and no routing to or away from resolve_contradiction or review_contradiction. The agent must infer that this is a pre-resolution advisory step.

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?

With no annotations and no output schema, the description does add value by enumerating the return fields (classification, severity, confidence, explanation). But it omits key behavioral traits such as whether the result is read-only, whether it is persisted, idempotency, or any permission/cost 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?

A single front-loaded sentence that conveys the action and the returned artifacts with no wasted words. Efficient, though it carries no additional structure such as guidance or examples.

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 analysis tool, the description covers the purpose and return contents, which partly compensates for the absent output schema. It remains incomplete on usage routing and behavioral/safety context, leaving the agent to infer when this tool is preferred over its siblings.

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 both claimAId/claimBId are fully documented in the schema, so the baseline is 3. The description adds nothing about parameter semantics beyond noting it operates on two claims.

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 (analyzes) and resource (two claims) with the goal of detecting contradiction, which is clearer than a bare name restatement. However, it does not distinguish this tool from close siblings like scan_claim_for_contradictions or explain_claim_relationship, so an agent can't route confidently without reading schemas.

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?

There is no statement of when to use this tool versus the many sibling scanning/analysis tools. No prerequisites or conditions are given; the agent must infer that a pairwise comparison is meant from the name alone.

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?

No annotations are provided, so the description carries full burden. It discloses one behavioral trait—that an audit record of the decision is preserved—but omits permissions required, reversibility, rate limits, and other side effects of the dismissal.

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, front-loaded sentence that efficiently conveys the action and its audit-trail outcome. There is no wasted wording, and the core information is presented immediately.

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 no annotations and no output schema, the description must be self-sufficient, but it lacks details about authorization requirements, what happens to the contradiction record's status, and whether the action is reversible. It covers the core action and audit aspect but leaves substantive gaps for a mutation 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%, so the schema already documents all four parameters fully. The description adds no parameter-level meaning beyond what the schema provides, making the baseline score of 3 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 ('Dismisses') and resource ('a contradiction record as acceptable or non-actionable'), making the action clear. However, it does not distinguish this tool from siblings like resolve_contradiction, review_contradiction, or reopen_contradiction, which an agent must differentiate.

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 no explicit when-to-use guidance, nor does it name alternatives such as resolve_contradiction or review_contradiction. The phrase 'as acceptable or non-actionable' hints at a condition but does not constitute clear usage instructions or exclusions.

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?

No annotations are provided, so the description carries the full disclosure burden. 'Explains' implies a read-only analysis, but the description never confirms lack of side effects, required permissions, or what the explanation output contains, leaving real behavioral gaps.

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 front-loaded sentence with no redundant filler, listing the context dimensions compactly. The dimension list is long but each item earns its place by signaling the analysis surface.

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 two-ID, read-only analysis tool with full schema coverage the description is nearly sufficient, and listing the context dimensions hints at the analysis depth. Without an output schema or annotations, however, it should say more about the shape of the explanation returned.

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 both parameters (claimAId, claimBId) are documented with UUID format in the schema, so the baseline of 3 applies. The description adds no ordering or pairing semantics beyond what the schema states.

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?

Specific verb (explains) tied to a specific resource (the relationship/contradiction status between two claims) plus the reasoning dimensions used. It is far from a tautology, but it never distinguishes itself from the sibling 'analyze_claim_pair', which an agent could easily mistake for the same operation.

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 when-to-use guidance, no preconditions, and no mention of alternatives such as analyze_claim_pair or scan_claim_for_contradictions. The agent must infer that this is the explanatory counterpart to the scanning tools.

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?

With no annotations, the description carries the full behavioral burden. 'Retrieves' implies a read operation and 'tracking updates and superseded values' conveys return semantics, but it omits pagination, ordering guarantees, and explicit read-only confirmation for a history tool.

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?

One tight, front-loaded sentence with no filler. It is efficient, though the phrase 'tracking updates and superseded values' is slightly redundant with 'value transition history'.

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 low-complexity, single-parameter read tool with no output schema, the description is adequate: it names the resource and hints at the returned content (chronological transitions, superseded values). It does not describe the shape of the history or ordering details an agent might need.

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?

There is a single parameter at 100% schema description coverage, so the schema already defines claimId fully. The description adds no format or meaning beyond what the schema provides, making the baseline of 3 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?

States a specific verb (Retrieves) and a well-defined resource: the chronological value transition history for a factual claim. This is clearly distinct from the contradiction-focused siblings and get_contradiction_history, though it never names those alternatives directly.

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 only says what the tool does; it gives no guidance on when to reach for it versus get_contradiction_history or the scan_* tools, and states no prerequisites or exclusions. Usage must be inferred from the one-line purpose.

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?

No annotations are supplied, so the description carries the full burden. It does disclose useful return content ('complete claim and source records'), which implies a read-only operation, but says nothing about permissions, error behavior for an unknown ID, or whether contradictions can be in different states. Partial disclosure only.

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 that front-loads the operation and ID scope, with the return-content clause earning its place. No 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?

With no output schema and no annotations, the description usefully states what is returned (claim plus source records), which compensates for the missing output schema. It is slightly thin on error/state behavior but adequate for a simple single-record fetch.

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?

Only one parameter, and the schema documents it fully at 100% coverage ('The unique ID of the contradiction record'). The description's 'by ID' adds no syntax or format detail beyond the schema, so the baseline 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 gives a specific verb+resource ('Retrieves a single contradiction by ID') and distinguishes itself from the list_* siblings through the 'single' scope. It stops short of naming an alternative tool, but the resource and cardinality are unambiguous.

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?

Usage is only implied: the ID-based lookup and the phrase 'for in-depth agent investigation' suggest this is the detail/drill-down step after list_contradictions, but no explicit when-to-use or when-not-to-use guidance is given relative to siblings like list_contradictions or get_contradiction_history.

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?

No annotations are provided, so the description carries the full burden. It usefully discloses that results are chronological and cover review/resolution actions, but says nothing about permissions, pagination, or truncation behavior for what is presumably an unbounded audit log.

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 well-formed sentence that front-loads the core purpose with no filler or redundancy.

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 single-parameter read tool with no output schema and no annotations, the description covers what is retrieved and its ordering. Only minor gaps remain (log size/pagination expectations), which are not critical for correct 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?

There is a single parameter with 100% schema description coverage ('The unique ID of the contradiction record'), so the schema does the work. The description adds no format or source hints for the ID beyond what the schema already provides; 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?

States a specific verb (retrieves) and resource (chronological audit history of review and resolution actions on a contradiction record). This clearly distinguishes it from siblings like get_contradiction (current state) and review/resolve/dismiss_contradiction (mutations), though no sibling is named explicitly.

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?

Usage is only implied — an agent can infer you call this to audit a contradiction's action trail, but there is no explicit when-to-use guidance, no mention of the analogous get_claim_history sibling, and no exclusions or prerequisites.

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?

With no annotations, the description carries the disclosure burden and does useful work: it names the specific subsystems probed (DB connectivity, server metrics). A health check is inherently a safe read, so the safety profile is self-evident, but latency, failure semantics, and whether a failing check returns an error vs. an unhealthy status are not covered.

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 15 words with the verb and scope front-loaded and no filler. Nothing could be removed without losing meaning.

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?

There is no output schema and no annotations, so the description must stand in for the return contract. It hints at what is measured (connectivity, metrics) but not how results are shaped (healthy/unhealthy status, per-subsystem flags, or a thrown error on failure), leaving an agent unable to anticipate the response.

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 tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter text is needed or expected.

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?

States a specific verb and resource ('Checks the operational status of Contradiction MCP') and even enumerates the checked subsystems (database connectivity, server metrics). It is trivially distinguishable from the contradiction-handling siblings, though it never names them explicitly.

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?

Usage is strongly implied by the tool's nature — a diagnostic/readiness probe — but the description never states when to invoke it (startup, troubleshooting, connectivity failure) or that it is the only non-contradiction-domain tool. Adequate for a zero-param probe, but no explicit 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?

No annotations exist, so the description carries the full burden. It discloses the shape of the return content (capabilities, authentication requirements, statuses), which is genuinely useful given there is no output schema, but it says nothing about safety, required auth to call the tool, or whether results are cached or paginated.

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 well-formed sentence with no filler, and the verb and resource are front-loaded. It could be slightly tighter but nothing is wasted.

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 zero-parameter list tool with no output schema, the description adequately explains what comes back, but it omits practical details such as result volume, ordering, or whether connector statuses are live or cached. Adequate rather than 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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is no parameter semantics to clarify and nothing omitted.

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?

States a specific verb ('Lists') and resource ('external source connectors') and enumerates the fields returned (capabilities, auth requirements, statuses). It is clearly distinguishable from the scan/sync/contradiction siblings, though it does not explicitly name an alternative the way a routing tool would.

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 says what the tool does but gives no guidance on when to call it versus alternatives (e.g., sync_source, sync_sources) or what a caller should do with the result. With no parameters there is little room for misuse, but no explicit usage context is provided.

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?

With no annotations, the description must carry the full behavioral burden. It does not say the operation is read-only, mention default/max result sizes, pagination behavior, sorting, or any permission requirements; it only characterizes the fields a record carries, which the schema already implies.

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 efficient sentence with no filler, and the filterable dimensions are listed up front. It is appropriately sized, though it is a flat statement rather than sharply front-loaded with the most decision-relevant information.

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 read-only list tool with 100% schema coverage and no output schema, the description is minimally adequate but leaves gaps: no return format, no ordering or pagination guidance, and no mention that all filters are optional (zero required parameters).

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 six parameters (including the enums for status and severity and the limit/offset defaults) are already documented. The description merely restates the filter dimensions, adding no syntax, default, or interaction detail beyond the schema.

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?

States a specific verb ('queries') and resource ('stored contradiction records') plus the filter dimensions. The word 'stored' implicitly separates it from scan_* siblings that discover contradictions, but it never names those alternatives explicitly, so sibling differentiation is left to inference.

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?

Usage is only implied: 'stored' records suggests retrieving existing data rather than scanning for new contradictions. There is no explicit guidance on when to call this versus get_contradiction for a single record or the various scan_* tools.

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?

With no annotations, the description carries the full burden. It usefully discloses the resulting status and that audit trail logging occurs, but omits whether reopening is reversible, what permissions or actor identity are required, and how existing resolution metadata is handled.

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 front-loaded sentence with no filler; the state transition and audit logging are both stated economically and every clause 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 mutation tool with full schema coverage and no output schema, the description covers the core operation, target states, and audit behavior. It stops short of the authorization/prerequisite detail an agent might want before mutating a record, but the essentials are present.

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 four parameters (contradictionId, reopenedBy, reason, notes) are already documented in the schema. The description adds no syntax, format, or constraint detail 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?

States a specific verb (reopens), resource (contradiction), and the exact state transition (resolved/dismissed -> OPEN), plus a side effect (audit trail logging). This distinguishes it from siblings like resolve_contradiction, dismiss_contradiction, and review_contradiction, which move records into the states this tool reverses.

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 'previously resolved or dismissed' implies the precondition for use, so an agent can infer this applies only to non-open records. However, it never explicitly contrasts with resolve_contradiction/dismiss_contradiction or states when-not to use it (e.g., already-open records), 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.

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

With no annotations, the description carries the full burden. It mentions recording the chosen claim, reason, and audit trail, but does not disclose permissions required, whether the action is reversible, or what side effects occur (e.g., changing status, notifications).

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, front-loaded sentence with no wasted words. It efficiently communicates the core action and recorded outputs.

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 this is a mutation tool with no annotations, no output schema, and many similar siblings, the description is incomplete. It does not explain the resolution process, its effects, or how it differs from other contradiction management tools.

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 parameters. The description adds little beyond what is in the schema, only summarizing what gets recorded. 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: 'Resolves a contradiction record.' This is clear, but it does not distinguish the tool from siblings like dismiss_contradiction or review_contradiction, which also act on contradiction records.

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?

There is no guidance on when to use this tool versus alternatives such as dismiss_contradiction, reopen_contradiction, or advise_resolution. The description provides no context or exclusions.

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?

With no annotations, the description carries extra weight, and it does add real value: it discloses the side effect (writes into a persistent audit trail) and that reviewer identity plus notes are recorded. It still omits whether the transition is idempotent, what happens if the record is already reviewed, or whether permissions are required.

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, front-loaded sentence with no filler; the state change is stated first and the audit-trail consequence follows.

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 no annotations and no output schema, the description covers the essential behavior: the state transition and the audit-trail write. It is nearly complete, missing only lifecycle signaling (idempotency, prior-state requirements) relative to its many sibling transition tools.

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 three parameters are already documented structurally — baseline 3. The description restates 'reviewer identity' and 'optional notes' without adding format, constraints, or usage nuance beyond the schema.

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?

Specific verb+resource: 'Marks a contradiction record as REVIEWED' clearly states the state transition and target entity. However, it does not distinguish itself from siblings with overlapping semantics such as resolve_contradiction, dismiss_contradiction, and reopen_contradiction, which an agent must disambiguate.

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 when-to-use guidance is given. The description never says when to pick 'review' over 'resolve', 'dismiss', or 'reopen' — a significant omission given four sibling tools operate on the same contradiction lifecycle.

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?

With no annotations, the description carries full burden. It usefully discloses that the operation is incremental and that it persists new contradictions (a write side effect), but says nothing about permissions, rate limits, or what happens to pre-existing contradictions, leaving real behavioral gaps for a mutating tool.

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 front-loaded sentence with no filler; the scan target and write behavior come first. Efficient, though it could incorporate usage routing without much added 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?

No output schema and no annotations, so the description should carry more. It conveys scope and that contradictions are persisted, but omits any sense of what the scan returns or how results are surfaced, which an agent selecting this tool would benefit from.

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 both parameters (claimId, minConfidence) are fully documented in the schema, so the description needn't compensate. It adds no syntax or format detail 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.

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

States a specific verb (scan), scope (single claim), and resource (contradictions), plus a key qualifier (incremental). This implicitly distinguishes it from scan_for_contradictions and scan_source_for_contradictions, though it never names those siblings explicitly.

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?

"Incremental scan for a single claim" implies the usage context relative to the batch/source siblings, but there is no explicit when-to-use or when-not-to-use guidance and no named alternative. The routing must be inferred.

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?

With no annotations, the description carries the full burden, and it does disclose useful behavior: deterministic candidate grouping, persistence, duplicate avoidance, and a summary return. However, it omits permissions requirements, performance/cost implications of a full-database scan, and any reversibility notes.

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 well-formed sentence that front-loads the scan action and packs in behavior without filler. It is slightly overloaded with clauses but nothing is wasted.

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 mutation tool with no annotations and no output schema, the description covers the core mechanics but leaves gaps: the summary report's contents are unspecified and side effects/permissions are not discussed. 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 all three parameters (limit, minConfidence, includeDismissed) are already documented in the schema with defaults. The description adds no parameter-level detail, 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 description names a clear verb and resource (scans all claims, detects contradictions) and adds real scope information — whole-database rather than a single claim or source. It implicitly separates itself from scan_claim_for_contradictions and scan_source_for_contradictions via the 'all claims' scope, but never explicitly contrasts them, so it falls 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?

There is no explicit when-to-use or when-not-to-use guidance, and no sibling is named. The bulk scope is only inferable from the phrase 'all claims,' which an agent must interpret on its own.

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?

No annotations are provided, so the description carries the full disclosure burden. It usefully discloses the comparison scope ('against all other claims in the database'), but says nothing about whether the scan persists/creates contradiction records, how long a scan may take, or cost/N+1 behavior. The persistence question is a real gap for a scan tool with no annotation coverage.

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 tight sentence with the action, the scoped input, and the comparison target front-loaded. Nothing is wasted or buried.

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?

There is no output schema and no annotations, so the description should carry more of the operational picture. It omits any indication of the return shape (e.g., ranked contradiction pairs with confidence scores) and whether the scan mutates stored state, leaving an agent guessing about results and side effects.

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 four parameters (sourceId, limit, minConfidence, includeDismissed) are already documented in the schema. The description adds no parameter-level detail such as what a sourceId may be or how minConfidence affects results, 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?

States a specific verb (scans) and resource (all claims from a specific source/file/repository) plus the comparison baseline (all other claims in the database). The scope wording implicitly separates it from the sibling scan_claim_for_contradictions (single claim) and scan_for_contradictions (whole DB), though neither sibling is named explicitly.

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 scoping phrase 'from a specific source, file, or repository' implies when to reach for this over the global or single-claim scanners, but there is no explicit when-to-use, when-not-to-use, or named alternative. Usage must be inferred from the scope description alone.

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?

With no annotations at all, the description carries the full behavioral burden. It discloses the three-stage pipeline (sync → extract claims with line provenance → discover contradictions), which is genuinely useful, but says nothing about whether syncing is idempotent, whether it mutates or creates records, what permissions/connectors are required, or what runDiscovery does on repeat runs.

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 dense sentence that front-loads the action and the resource, then lists formats and outcomes in the order the agent will need them. No filler, no restatement of the name.

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 seven-parameter, zero-annotation, no-output-schema tool the description covers the pipeline shape adequately but leaves the mutation semantics and return shape entirely unaddressed. An agent knows roughly what it does but not what it changes or gets back.

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 every one of the seven parameters is already documented in the schema, and the baseline is therefore 3. The description adds only the format list, which loosely relates to filePath, and nothing about scope, subject, sourceName, sourceRole, environment, or runDiscovery semantics.

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?

Names a concrete verb (synchronizes) and a concrete resource (a local document file), and enumerates the accepted formats, which separates it from sibling syncers such as sync_github_repository and sync_website. It is clear, but it never names the closest sibling (sync_source) so an agent must infer the boundary itself.

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 format list implies 'use this for local files, not for remote repositories or websites', which is a reasonable inference against the sibling set. There is no explicit when-to-use statement, no mention of prerequisites (must the file exist? is a connector needed?) and no stated alternative for the overlapping sync_source tool.

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?

With no annotations, the description carries the full burden and does well: it discloses the multi-stage behavior, that persistence is idempotent (safe to re-run), and that contradiction discovery runs automatically on touched claims. Gaps remain on auth requirements, network/rate-limit behavior, and failure handling, so it falls short of 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.

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

A single front-loaded sentence with no filler; every clause (ingest, extract, persist idempotently, discover contradictions) adds signal. It is dense and slightly run-on, which keeps it just below a 5.

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 no output schema and no annotations, the description covers what the operation does and its main side effects (persistence, automatic discovery). It stops short of describing the return value or what happens to pre-existing claims, but the core behavior is complete enough to invoke 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 owner, repo, branch, and runDiscovery. The description mentions extracted fields (runtimes, dependencies, ports) but adds no syntax, defaults, or constraints beyond what the schema provides, making the baseline 3 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 names a specific verb (ingests/syncs) and a specific resource (GitHub repository), then enumerates the pipeline stages it performs: claim extraction, idempotent SQLite persistence, and contradiction discovery. The 'GitHub repository' scope cleanly distinguishes it from sync_website, sync_document, and sync_source siblings.

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?

Usage is implied by the resource scope (use this to ingest a GitHub repo), but there is no explicit when-to-use guidance, no mention of prerequisites such as a configured GitHub connector or token, and no routing between this tool and siblings like test_github_connection or sync_sources.

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?

With no annotations, the description carries the full burden, and it does usefully disclose idempotency ('idempotently extracts claims') and the side effect of automatic contradiction discovery, which is real behavioral value. It omits important traits for an ingestion/write tool: whether existing claims are mutated or deleted, required permissions, failure/partial-failure behavior, and whether repeated calls are cheap.

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 dense sentence with no filler, front-loaded with the identity ('Unified ingestion tool') followed by verbs and effects. It could be split for scannability but every clause 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 3-parameter tool with a nested, connector-dependent input object and no output schema, the description covers the what but not the how: it never explains where to obtain valid connector-specific input payloads or what the sync returns. Adequate but leaves real gaps for an agent assembling the nested 'input' argument.

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 connector, input, and runDiscovery; baseline 3 applies. The description only restates the connector examples already present in the schema and does not clarify the shape of the free-form, connector-specific 'input' object.

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?

States a specific verb (synchronizes) plus the resource (any registered source connector) and enumerates the supported connector types, which distinguishes it from the singular siblings sync_document, sync_website, and sync_github_repository. It also names the two downstream effects (claim extraction, contradiction discovery), so an agent knows exactly what this call does without opening the schema.

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 word 'unified' implies this is the generic entry point that covers any connector type, which suggests when to prefer it over the per-connector siblings. However, no explicit when-to-use/when-not-to-use guidance or prerequisite (e.g. connector must be registered/listed first) is stated, and nothing tells the agent how this relates to the plural sync_sources sibling.

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?

With no annotations, the description carries the full burden and does disclose meaningful traits: bounded concurrency, failure isolation (partial failures don't abort everything), and post-sync contradiction discovery. It does not cover auth requirements, rate limits, what a partial failure returns, or whether the operation is idempotent — gaps for a batch mutation with no 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?

A single front-loaded sentence that packs the batch framing first and the behavioral traits after. Dense but not bloated; "failure isolation" and "unified" are slightly opaque adjectives rather than concrete detail.

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 batch tool taking an array of connector/input objects with no output schema and no annotations, the description explains the overall behavior but omits return semantics, error/partial-failure reporting, and how contradiction discovery results surface. Adequate but with clear gaps.

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 baseline is 3. The description loosely echoes the concurrency ("bounded concurrency") and runDiscovery ("contradiction discovery") parameters, but adds no new format or constraint detail beyond the schema and says nothing about the per-source connector/input structure.

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 gives a clear verb+resource ("synchronizes multiple external sources") and the leading "Batch ingestion tool" label distinguishes it from the singular siblings like sync_source, sync_document, and sync_website. It does not name those alternatives directly, but "batch"/"multiple" makes the scope unambiguous.

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?

Usage is only implied: an agent can infer this is for syncing several sources at once rather than one. There is no explicit when-to-use/when-not guidance, no statement of prerequisites, and no routing to the sibling single-source tools.

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?

With no annotations, the description carries the full disclosure burden. It usefully notes strict SSRF defenses and that claim extraction and contradiction discovery happen as part of the call, which hints at side effects. It omits whether this persists data, what happens on re-sync/duplicates, auth requirements, and rate limits, so coverage is partial.

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 front-loaded sentence with the primary action first and no filler. It is appropriately sized, though the comma-separated clause list slightly underspecifies rather than overexplains.

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 3-parameter tool with no output schema or annotations, the description covers the input action and the SSRF safety posture but omits persistence/side effects, expected return, and failure behavior. It is minimally adequate rather than 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 all three parameters (url, sourceName, runDiscovery) are already documented, including the runDiscovery default. The description adds no syntax, format, or constraint detail 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 description names concrete verbs and resources: fetches a public web page, extracts factual claims, and discovers contradictions. This makes the tool's job clear without opening the schema. It stops short of distinguishing itself from siblings like sync_source or scan_source_for_contradictions, which overlap on the extraction/contradiction behavior.

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?

Usage is implied by 'explicit public web page' and the SSRF caveat, telling the agent this is for public web URLs only. However, it never says when to prefer this over sync_source, sync_document, or the scan_* contradiction tools, leaving the routing decision to inference.

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?

With no annotations, the description carries the full behavioral burden. It usefully discloses that credentials are not exposed, which is a security-relevant trait, but it does not specify authentication prerequisites, failure behavior, side effects, or rate limits.

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 with zero waste, front-loading the core purpose and including the notable credential-safety behavior without unnecessary detail.

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 diagnostic with no output schema and no annotations, the description covers purpose and a key security trait. It would be stronger if it mentioned authentication prerequisites or expected failure modes, but it is largely complete for the tool's complexity.

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 both owner and repo are already fully documented. The description adds only the idea of a 'specific repository' and does not elaborate on parameter meaning beyond what the schema provides.

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 ('Tests connectivity') and resource ('GitHub' and 'a specific repository'), and it distinguishes itself from the sibling sync_github_repository by clearly being a diagnostic rather than a data transfer operation.

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?

Usage is implied: validate GitHub connectivity and repository access before other operations or when troubleshooting. However, it does not explicitly state when to use this tool versus the health_check sibling or when not to use it, so guidance remains inferential.

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