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 the check may include the registrable parent domain and names the blocked-domains list, but it does not describe the return value shape, read-only nature, or failure behavior.

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 compact sentences with the core check stated first and usage guidance second. There is no wasted text.

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 check with full schema coverage, the description gives enough context to select and call the tool. The main remaining gap is that it does not explicitly state the return value, though 'Check whether' implies a Boolean-style result.

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%, so the baseline is 3. The description adds meaningful semantics by saying the check applies to the domain or its registrable parent, which goes beyond the schema's hostname example.

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 and resource: it checks whether a domain is on the StellarExpert blocked-domains list. It also clarifies the important scope that the registrable parent may be checked. It does not explicitly name the sibling list_blocked_domains, but the singular check purpose is still clear.

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

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

The description gives a clear usage condition: use it before linking or recommending a Stellar-related URL. It does not state when not to use it or point to alternatives such as listing all blocked domains, so it falls short of the highest level.

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 burden. 'Get' plus the parenthetical return summary signals a safe read with a defined output shape, but it says nothing about behavior for accounts that hold none of the asset, whether the rank is 1-based, or how the default network is resolved.

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 packs the scope and return summary in a parenthetical with zero wasted words.

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 read-only lookup with full schema coverage, the description covers purpose and return values adequately; no output schema exists, so the mention of position and total holder count is valuable. Minor gaps remain around edge cases like non-holders and network fallback.

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 asset format (CODE-ISSUER), account pattern, and the network default are already fully documented in the schema. The description adds no parameter-level detail beyond that, which is the expected baseline.

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 (relative balance rank among holders of an asset) and clarifies the returned values (position and total holder count). This is clearly distinct from the sibling list_asset_holders, though the description never names that sibling to make the distinction explicit.

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 'where does this account rank' rather than 'who holds this asset', but there is no explicit when-to-use, when-not-to-use, or named alternative. No prerequisites or conditions are stated.

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 that the score is ledger-activity based (so it reflects on-chain behavior, not off-chain sentiment) and that it is not financial advice, but it says nothing about caching/staleness, rate limits, or what happens for an asset with no ledger activity.

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

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

Two tight sentences, front-loaded with what is fetched, followed by the derivation caveat. The parenthetical metric list is information-dense but slightly crammed; no sentence 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 2-parameter read with no output schema, the enumeration of rating components effectively previews the return shape and the 'ledger-activity based' note frames the value. Remaining gaps (behavior for an asset with no activity, cross-network differences) are modest given the small surface area.

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%, including the CODE-ISSUER format example and the network enum default, so the schema already does the work. The description adds no parameter-level detail beyond the metric list, which is the correct baseline of 3.

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 (Fetch) and a specific resource (StellarExpert composite technical rating for one asset), then enumerates the exact sub-metrics composing the rating. That enumeration makes it unmistakable against siblings like get_asset_supply, list_asset_holders, or get_directory_entry.

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 rather than stated: the description makes clear it returns a pre-computed aggregate rating for a single asset, so an agent can infer it should call this instead of assembling raw metrics itself. However, it never names when to prefer a sibling (e.g. get_asset_supply for raw supply data) and gives 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 full burden. It does disclose the return encoding ('as plain text'), which is genuinely useful beyond structured fields, but says nothing about read-only safety, error behavior for unknown assets, rate limits, or numeric precision of the returned supply.

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 compact sentences with the core action front-loaded and no filler. The parenthetical use-case is the only arguably expendable clause, keeping 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 two-parameter read with no annotations and no output schema, the definition covers the action, input formats, and output shape ('plain text'), but leaves failure modes and the exact response format (precision, rounding) unaddressed.

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 parameters are already fully documented at the field level. The description's note about accepted identifier formats (native XLM, CODE-ISSUER) merely restates the schema rather than adding new meaning, so 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 and resource ('Return total issued supply for an asset'), which is unambiguous and clearly distinct from sibling tools like list_asset_holders and get_asset_rating. It does not explicitly name a sibling or contrast with one, 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?

'Useful for aggregators and dashboards' hints at the consumption context, but there is no explicit when-to-use vs when-to-use-something-else guidance, no mention of exclusions, and no statement of prerequisites for an asset identifier that may not exist.

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 and does well: it discloses the return shape, that a miss can surface as either an empty object or a 404, and that a Directory miss doesn't imply the account doesn't exist on-chain. It doesn't mention whether a 404 raises an error in the client, auth needs, 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?

Three short sentences, front-loaded with purpose, then return shape, then the not-found caveat — the most decision-relevant nuance. Nothing is padded.

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 exists, and the description compensates by naming the returned fields and the two empty-result forms, which is enough for an agent to interpret a response. A slightly fuller field list or note on error-vs-empty convention would make it 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 coverage is 100% and the single 'address' parameter already documents the G+55 base32 format with a regex pattern. The description adds no parameter-level 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 ('Look up') and a precisely scoped resource ('one Stellar account in the Directory'), plus what the response contains (name, domain, tags). The singular 'one' implicitly contrasts with list_directory_entries, but no sibling is named, 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?

Usage is implied by the singular-account framing and the hint that a missing account 'may still exist on-chain' suggests a fallback path, but the description never explicitly says when to pick this over list_directory_entries or the blocked-domain 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?

No annotations are supplied, so the description carries the full burden. It does usefully disclose the resolution rule (floor: equal to or before) and the 404 error cases, which an agent could not infer from the schema, but it says nothing about return shape, auth requirements, 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?

Two tight sentences, front-loaded with the core operation and followed by the error contract. Nothing redundant or padded.

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, the description should say more about what a successful call returns (a bare sequence number, or a sequence plus close time?). It covers input interpretation and failure modes adequately but leaves the success payload 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 coverage is 100%, and the timestamp schema already documents both UNIX-seconds and RFC 3339 formats, so the description largely repeats structured data. The one added meaning is the rounding rule — the returned ledger closes at or before the given time, not the nearest one — which is a genuine clarification but belongs to function behavior rather than the parameter itself.

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: "Resolve the ledger sequence whose close time is equal to or before the given timestamp." That cleanly separates it from sibling ledger_timestamp_from_sequence (the inverse operation), but the description never names or references that sibling, so differentiation is inferred rather than stated.

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 use case (converting a wall-clock time into a ledger number) is implied by the phrasing, and the failure conditions (before first ledger, in the future) are spelled out. However, there is no explicit guidance on when to prefer this over ledger_timestamp_from_sequence or which network to pick when the two disagree.

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 behavioral burden. It does disclose the return content (UNIX + ISO date), which is useful, but says nothing about behavior for sequences beyond the current tip, error conditions, or the network-scoping implications.

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 verb and output format come immediately. Nothing in it could be removed.

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 read-only lookup with a fully documented schema and inline return description, this is roughly adequate. It leaves gaps around the inverse sibling, the meaning of the network parameter, and edge-case behavior, which matter for correct selection.

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 (sequence, network) are documented in the schema, including the default resolution for network. The description adds no parameter-level meaning beyond that, so 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 (resolve) plus the exact resource and output shape (close timestamp, UNIX + ISO date) for a ledger sequence. It does not differentiate from the sibling ledger_sequence_from_timestamp, which performs the inverse mapping and is the obvious source of confusion for an agent.

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 versus ledger_sequence_from_timestamp, nor any precondition such as only valid for already-closed ledgers. The agent must infer the direction of the conversion 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 exist, so the description carries the burden and does disclose behavior: sort ordering by balance, omission of zero-balance trustlines, and Horizon-style paging semantics. It does not mention auth, rate limits, or what a page response looks like, leaving gaps but covering the key 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?

Three compact sentences, front-loaded with the core action and scope, then filtering and paging details. No wasted wording.

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 5-param list tool with no annotations and no output schema, the description covers scope, ordering, and paging shape well. It stops short of describing the returned record structure or pagination termination, which would fully close the loop.

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%, so baseline is 3; the description adds meaning by tying 'sorted by balance' to the order param and clarifying that paging is Horizon-style, which informs how cursor is used beyond the schema's 'paging_token from a previous page'.

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 ('List accounts holding a non-zero balance of an asset') with scope qualifiers: sorted by balance, zero-balance omitted. It clearly separates itself from get_asset_supply and get_asset_holder_rank by describing a full holder listing, 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?

'Zero-balance trustlines are omitted' implies the data scope, but there is no explicit guidance on when to use this versus get_asset_holder_rank or list_assets, and no exclusions or prerequisites stated.

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 behavioral burden; it does disclose what is returned (stats + composite rating) and that rating is technical, not an investment recommendation. It omits anything about pagination limits beyond the schema, rate limits, or permissions, leaving real gaps for a no-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?

Three front-loaded sentences with no filler, and the key capability (search fields, sorting, rating default) is stated early. Mild redundancy in re-listing sort options that the schema already enumerates.

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, the description usefully describes the return content (on-chain stats, composite rating) and the search dimensions. Paging behavior is only covered by the schema's cursor field, a minor gap.

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 fully documented and the baseline is 3. The description restates the sort fields and confirms default sorting, and adds a bit on what 'rating' means, but contributes little 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 ('List Stellar assets') plus what the result carries (on-chain stats and StellarExpert composite rating). It implicitly distinguishes itself from single-asset siblings like get_asset_rating and list_asset_holders by being a broad listing, but never names an alternative 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?

'Use to find or rank assets' gives a clear usage context, and the sort/search sentence frames when ranking is appropriate. No explicit when-not or named sibling alternative, so it stops short of the top score.

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 that the response is paginated and Horizon-style, which is useful behavioral context. It says nothing about authentication requirements, rate limits, whether the list is exhaustive or snapshot-based, or the fact that it is a safe read operation (only implied by "List").

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?

Three short sentences, front-loaded with the purpose, then response shape, then the alternative. Every sentence carries information and nothing is repeated from structured fields.

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-required-parameter read-only list tool with full schema coverage and no output schema, the description supplies purpose, pagination model, and sibling routing, which is close to sufficient. It leaves the caller to infer whether the listing is filtered by any status and what fields each entry returns.

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 limit, order, cursor, and search are all documented in the schema itself, establishing a baseline of 3. The description's "Paginated Horizon-style response" adds only an indirect hint about cursor semantics and nothing about search or ordering behavior 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?

States a specific verb and resource ("List domains reported for fraudulent Stellar-related activity") with the subject matter scoped precisely. It also names the sibling check_blocked_domain, so an agent can distinguish this list-all tool from the single-hostname lookup without opening either 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?

"Prefer check_blocked_domain for a single hostname" gives an explicit alternative and the condition that selects it. It stops short of stating when this tool should not be used at all (e.g., no filtering by status or reporter), but the primary routing decision is covered.

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 explains filter mechanics and the tag vocabulary but never states the operation is read-only/idempotent, nor describes pagination behavior, error cases, or result shape for what is a paged listing tool with a cursor parameter.

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?

Three sentences, purpose front-loaded, with filters and use cases packed in without filler. The long tag enumeration is dense but each item is actionable filtering vocabulary.

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 six-parameter, fully described, non-destructive listing tool with no output schema, this covers what an agent needs to select and invoke it. The main remaining gap is that it doesn't hint at what a Directory entry contains beyond name/domain/address and tags.

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%, so the baseline is 3, but the description earns extra by enumerating the full tag vocabulary (exchange, anchor, issuer, wallet, custodian, malicious, unsafe, personal, sdf, memo-required, airdrop, defi) where the schema only offers three examples. It also clarifies that search spans name/domain/address, adding meaning beyond the schema's terser wording.

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: search the StellarExpert curated Directory of well-known accounts. It clearly reads as a list/search tool versus the singular get_directory_entry sibling, though it never names 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?

Gives concrete use cases (reverse lookups, scam checks via malicious/unsafe tags, labeling counterparties), which is more than most. It stops short of explicit exclusions or naming get_directory_entry/list_directory_tags as alternatives when you already have an address or just want the tag vocabulary.

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 burden. 'List all' signals a full enumeration, implying an unfiltered, read-only catalog, but pagination, ordering, and size expectations are unstated.

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 verb and resource, with the only extra clause being the classifying-purpose detail. 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 conveys what comes back (name + description per category). Only the return volume and ordering are left implicit, a minor gap for so simple a call.

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 the baseline is 4. The description correctly implies the call is argument-free and adds the useful detail that each category's payload is name + description.

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+resource: 'List all Directory tag categories' with a clarifying parenthetical that they carry name and description. It also scopes them to classifying well-known and reported accounts, which helps distinguish from the generic list_directory_entries, though it never names a sibling 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 phrase 'used to classify well-known and reported accounts' implies a context of use, but the description never says when to pick this over list_directory_entries or get_directory_entry, and offers 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.