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

There are no annotations, so the description must carry the behavioral burden. It discloses that the result is attributed/source-linked and limited to one to five entries, but it does not state whether the tool returns a generated artifact, persists anything, or requires special permissions, nor does it detail the output structure beyond 'scaffold'. This is adequate but not rich.

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-structured sentence that front-loads the action and deliverable, then states the input scope. Every phrase earns its place; there is no filler or repetition of schema boilerplate.

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 only two parameters and no output schema, so a short description is acceptable. However, with no annotations and no output schema, the description should more explicitly describe the returned guide's structure or any side effects to be fully self-sufficient; as written it is adequate but leaves room for ambiguity.

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%: ids and context are already described in the input schema. The description reinforces that ids are one to five selected entries and indicates that source-linked questions and values are used, but it adds no essential parameter semantics 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?

The description uses a specific verb ('assemble') and names a concrete deliverable ('attributed class, book-club, or community discussion scaffold') built from one to five entries. This clearly distinguishes it from sibling tools such as list_entries, get_entry, or compare_entries, which perform lookups or comparisons rather than constructing a guide.

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?

It gives context for when to use the tool (creating discussions for classes, book clubs, or communities) and implies a prior selection of one to five entries, but it never explicitly says when not to use it or names an alternative. The usage context is clear enough to infer intent, but no exclusions or alternative routing are 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 present, the description carries the burden of disclosing behavior. It does meaningfully disclose that the tool does not rank models or declare a best choice, which is a behavioral trait an agent might incorrectly assume from the name 'compare'. The side-by-side framing also suggests a display-oriented read operation, though it does not explicitly state side effects or return format.

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

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

The description is two sentences with no filler. The core action is stated first, and the important non-ranking qualifier is placed second. Every word earns its place, and the structure is easy to parse quickly.

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

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

For a simple tool with one parameter and no output schema, the description communicates the essential behavior: side-by-side comparison without ranking. It does not describe the return structure in detail, but 'side by side' reasonably conveys the output concept. Given the low complexity, the description is sufficiently complete, though it could be slightly richer about what fields are shown.

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

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

The schema already provides 100% coverage for the single parameter, including min/max items and a description stating 'Two to six entry IDs'. The description adds 'using source fields' but does not add significant new meaning about the ids parameter itself. Since schema coverage is complete, a 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 function: placing two to six entries side by side using source fields. It also distinguishes the tool from any ranking or best-choice functionality, which is a meaningful differentiation from siblings like list_entries or get_entry. The verb 'place' plus the resource 'entries' makes the purpose specific and 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?

The description implies when to use the tool: when you need a side-by-side comparison of multiple source entries. However, it does not explicitly state when not to use it or name alternative tools such as get_entry or get_related_entries. The 'does not rank' clause adds a useful exclusion, but the guidance is more implicit than explicit.

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 provided, the description carries the behavioral disclosure burden. It reveals a key behavioral trait: the tool returns a summary, not the full entry text, and that canonical full text lives at the source URL. This is meaningful context that prevents an agent from expecting complete content.

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

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

Two concise sentences with no filler. The core purpose is front-loaded, and the behavioral caveat about canonical source placement is delivered immediately after.

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 one-parameter retrieval tool with no output schema, the description covers what is returned and what is not returned. It would be slightly stronger with explicit usage guidance against siblings, but the tool is low-complexity and adequately scoped.

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%, and the single parameter has a clear description with an illustrative example. The tool description adds little about the parameter itself, but the schema already provides sufficient semantic grounding, so a 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 states a specific verb ('Get') and resource ('one source-authored summary') and spells out the fields returned: authors, references, source relationships, canonical URL, and CC attribution. This clearly differentiates it from sibling tools like list_entries or get_related_entries, which target different resources or scopes.

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 the tool is for fetching a single entry when its ID is known, but it never explicitly says when to use this tool over siblings or when to avoid it. There is no mention of alternatives such as list_entries for browsing or search_toolbox for discovery.

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 provided, the description carries the full burden of behavioral disclosure. It adds one meaningful trait—'No relationships are inferred'—but does not explain traversal direction, depth, whether the entry itself is included, or how the optional type filter affects results. This is thin for a graph-relationship 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?

Two short sentences convey the core operation and the most important behavioral caveat without waste. Every phrase earns its place, and the main action is front-loaded.

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 tool, the description is minimally viable but leaves notable gaps: no output schema exists, and the description does not clarify whether results are paginated, ordered, include the source entry, or traverse the graph only one level. The agent can call it, but not fully anticipate the result shape.

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 both parameters and the baseline is 3. The description adds little parameter-level meaning beyond 'connected to one entry' mapping loosely to the required id, and the type filter is only documented in 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?

The description uses a specific verb ('Get'), names the resource ('entries connected to one entry'), and identifies the authoritative source ('official Beautiful Trouble source graph'). This clearly distinguishes it from sibling tools like get_entry, which returns a single entry, and search_toolbox, which implies flexible search.

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 the tool: when the agent needs explicitly curated official source relationships. The explicit 'No relationships are inferred' is a useful exclusion, but the description does not name alternatives or state when another tool should be chosen instead.

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 provided, the description carries the behavioral disclosure burden. The verbs 'Get' and 'Inspect' imply a read-only operation, and the listed content areas indicate what is checked or retrieved. However, it does not explicitly state read-only behavior, access requirements, or whether any integrity check involves side effects, leaving some ambiguity for a zero-annotation 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?

The description is a single sentence that front-loads the main purpose ('Get source inventory') and then enumerates the specific facets, which is efficient and easy to parse. It is slightly list-like, but each element adds distinct meaning and no filler is present.

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?

Although there is no output schema or annotations, the tool is low-complexity with no parameters. The description covers the full scope of what is returned: provenance, license terms, adaptation notes, limitations, and integrity. This is sufficient for an agent to know what to expect, even though the exact return structure is not specified.

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?

This tool has zero parameters, so the input schema is fully covered and there is nothing for the description to add about parameter semantics. The description appropriately focuses on output content. Per the rubric, a zero-parameter tool receives a baseline of 4.

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 ('Get') and a clear resource ('source inventory, provenance, license conditions, adaptation notes, limitations, and snapshot integrity'), which clearly indicates it is an inspection/retrieval tool for source-related metadata. It does not explicitly contrast with sibling tools like get_entry or list_entries, but the resource focus is distinct enough to avoid confusion.

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 on when to use this tool versus alternatives. The description simply enumerates what it returns, leaving the agent to infer from the name and content that it is appropriate when source/license information is needed. There is no mention of exclusions or preferred sibling 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 says only 'List compact source entries', which essentially restates the tool name and gives no information about pagination, default result count, ordering, or whether any filters are mutually exclusive. It does not explicitly confirm a read-only side-effect profile.

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 sentence with no filler; the main action and filter options are front-loaded. 'Compact source entries' packs useful scope information efficiently.

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 does not say what a returned 'compact source entry' looks like or how it differs from 'search_toolbox' results. The default behavior of 'max_results' (all matching entries) is only in the schema, not surfaced in the description, leaving agents without a mental model of 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?

Schema description coverage is 100%, so a baseline of 3 applies. The description names 'toolbox type' and 'sector', matching the 'type' and 'sector' parameters, adding no new semantics. 'max_results' is left entirely to 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?

The description identifies a specific verb ('List'), a resource ('compact source entries'), and optional filters ('toolbox type or sector'). It distinguishes from 'get_entry' by implying a multi-entry listing, but does not explicitly contrast with 'search_toolbox', so it stops short of full sibling differentiation.

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 for when to choose this over siblings like 'search_toolbox' or 'get_related_entries'. The only usage signal is the verb 'List', leaving the agent to infer context. There are no explicit alternatives 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 behavioral disclosure burden. It does disclose a genuine behavioral trait: relevance is 'lexical and relational, not prescriptive.' Still, it omits details about output format, grouping, ordering, or how 'source-grounded' is enforced, so coverage is only 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?

The description is exactly two sentences, each earning its place: the first specifies the verb and the resource, and the second clarifies the relevance mechanism. It does not repeat the title or waste words on obvious details.

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 three-parameter tool with no output schema and no annotations, the description is adequate but incomplete. It tells what kinds of items are surfaced, but it doesn't describe the response structure, how results relate to 'toolbox lenses,' or how max_per_type affects the output, so an agent may still be uncertain about the full invocation contract.

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 documents all three parameters with 100% coverage, including descriptions and defaults, so the baseline is 3. The description adds no parameter-level meaning beyond what the schema already provides, which is acceptable given the 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 states a specific verb and resource: 'Surface source-grounded questions, values, principles, solutions, and stories relevant to a challenge.' The phrase 'not prescriptive' hints at differentiation from other tools, but it doesn't explicitly name a sibling, so it stops short of full differentiation.

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 the tool—when exploring a challenge across toolbox lenses—and the 'not prescriptive' clause suggests it is not for generating definitive answers. However, there is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named, leaving the agent to infer from the title and sibling list.

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 present, the description carries the behavioral burden. It adds useful context by stating results are deterministic source matches rather than recommendations, which helps set expectations. However, it omits other behavioral details such as result format, sorting, or how it handles empty or ambiguous queries.

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 only two sentences and every sentence earns its place. The first sentence states the action and scope; the second adds an important behavioral clarification without unnecessary elaboration.

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 schema covers all parameters, and the description gives a fair sense of what the tool searches. However, with no output schema or annotations, the description does not explain the structure or content of the returned result list, leaving agents to infer what a search result looks like.

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 well-documented in the schema. The description's list of content types aligns with the 'type' enum, but it adds no new meaning beyond what the schema provides for query, sector, or max_results.

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 that this tool searches the Beautiful Solutions corpus and enumerates the content types it covers: values, principles, questions, solutions, and stories. It does not explicitly differentiate itself from sibling tools like list_entries or map_challenge, but the verb 'Search' plus the named content types makes the core purpose specific enough.

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 explicit guidance is given for when to use this tool versus alternatives. The description does not mention when to prefer search_toolbox over list_entries or get_entry, nor does it describe a scenario where another sibling would be more appropriate.

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