TalentAnvil

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 discloses the return shape (class/spec plus selected talents), which is genuinely useful given there is no output schema, but it says nothing about malformed/invalid loadout strings, error behavior, or whether the operation is purely read-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 front-loaded sentence with no filler; the verb, input, and output are all packed in without waste.

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

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

For a one-parameter, no-output-schema tool, the description covers the input concept and enumerates what comes back, which is the main thing an agent needs. It falls short only on input-format expectations and failure behavior.

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 0%, so the description must compensate, and it essentially only restates the parameter name ('loadout string'). It gives no hint of the string's expected format, encoding, or provenance, leaving the single required parameter under-specified.

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 (decode) and resource (loadout string) plus the decoded outputs (class/spec, talents). It is clear enough to distinguish from the encode-direction sibling generate_build, but it never names or contrasts with any 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?

There is no statement of when to use this tool, when not to, or which sibling to prefer. Usage (parsing an existing loadout string rather than generating one) is only implied by the verb 'decode'.

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 solver enforces prerequisites, gates, and budgets. However, it does not say what happens on unsatisfiable input, whether include/priorities can conflict, or what the returned string looks like.

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 tight sentences, front-loaded with the output artifact, then inputs, then solver behavior. 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?

No annotations and no output schema, with five parameters at 0% schema coverage. The description covers input intent and solver constraints but leaves the result format and failure behavior underspecified for a nontrivial generation 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 coverage is 0%, so the description must compensate; it explains include, hero_tree, and priorities reasonably well. It leaves class/spec format and the name-vs-id ambiguity only partially addressed, so it falls short of full compensation.

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 (Produce) and resource (valid, importable loadout string for a class/spec), which is clearly the inverse of the sibling decode_build. It does not explicitly name a sibling, but the input/output direction makes the distinction inferable.

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

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

The description implies when to use it by describing the inputs it expects, but never states when to prefer it over decode_build or popular_builds, nor any preconditions. Usage is implied rather than 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 and does so richly: it declares the default sections, the ~20k token budget and the truncated_sections escape hatch, the exact shape of talents (active loadout only, loadout code, per-talent fields), the compact equipment layout, and that raids/dungeons are current-expansion only. These are behavioral traits no structured field conveys, with no contradictions.

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?

Purpose and defaults are front-loaded and nearly every clause earns its place given 14 parameters and 20 sections. The single dense paragraph makes it hard to scan, and a bulleted per-section layout would have been tighter, keeping it off 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 14-parameter tool with no output schema, the description covers return shape for the high-value sections (talents, equipment, M+, achievements) and explains the truncation contract. An agent has everything needed to call it and interpret the response without further documentation.

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 already high (86%), but the description still adds operative meaning: include_inactive_loadouts yields other specs' loadout codes, achievements_limit/offset page achievement_category and tracking has_more, and achievement_category accepts a name-or-id with ambiguity resolution. This goes beyond the schema descriptions for the most interaction-heavy params.

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 ("Look up a live World of Warcraft character from Blizzard's armory") and enumerates the returnable sections, so the agent instantly knows its scope. It also names the sibling it hands off to ("pass it to decode_build") and every raw talent payload is distinguished from the build generators.

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 routes the agent through the tool's own sub-flows well: defaults are stated, achievement_category vs achievement_ids vs achievement_statistics are distinguished, and raid_expansions/dungeon_expansions are given for non-current content. It stops short of an explicit when-not-to-use rule against siblings like get_talents or generate_build, which would be needed for a 5.

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 adds genuinely useful context that data is refreshed daily and reflects the live patch rather than stale training data. It omits, however, any error behavior for an unknown spell or for a call where neither name nor spell_id is supplied (both are optional with zero required params).

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

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

Two tight sentences with the lookup keys front-loaded and the freshness caveat as a supporting clause. No filler, nothing to trim.

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-param lookup with no output schema, the description covers what the tool returns and data currency. It is still missing not-found behavior and the resolution rule for the optional name/spell_id pair, which matters since neither parameter is required.

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 0%, so the description must compensate for both parameters. It clarifies that spell_id is an ID sourced from get_talents and that name is an alternative lookup key, adding real meaning beyond the bare schema. It does not state precedence when both are provided or that the parameters are optional, leaving a gap for a 0-required-param tool.

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 (Get) and resource (Blizzard spell details), and names exactly what is returned: 'name and full effect description'. It also distinguishes itself from the other lookup tools by pointing at get_talents as the origin of spell_id.

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 via the dual input paths ('by spell id (from get_talents) or by name'), which usefully tells the agent where IDs come from. However, there is no explicit when-to-use statement, no exclusions, and no guidance on which of the two optional params to prefer.

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. It discloses the return shape and hints that get_spell holds the 'freshest' detail, implying get_talents may be less current, but it omits permissions, rate limits, or whether the list is complete for a class/spec.

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 and return fields, then sequencing and a related-tool pointer. 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?

There is no output schema, but the description compensates by enumerating the returned fields. For a no-annotation read tool the main remaining gap is parameter value formatting, which neither schema nor description covers.

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 0% for both required params, so the description must compensate. It only says 'for a class/spec', which restates the parameter names without giving expected value format (class name vs id) or valid values. Minimal added meaning.

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 (List) and resource (selectable talents) scoped to class/spec, and enumerates the returned fields (id, name, effect, spell id, sub-tree, hero tree, choices). It is clearly distinguishable from generate_build and get_spell, which it names.

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 explicit sequencing guidance ('Call this before generate_build so you know the talent names') and routes spell-level detail to get_spell. It's clear context for use, though it states no when-not-to-use conditions.

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 is a zero-parameter list operation, so risk is minimal and the description usefully discloses the return content (slugs), but it says nothing about read-only nature, pagination, or result size.

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 lean sentence with the resource and the return payload front-loaded; 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?

With no output schema or annotations, the description adequately covers what the tool returns (classes/specs and their slugs). Minor gap: no indication of result format or whether the list is exhaustive/static.

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, which is the baseline-4 case. Nothing further is needed or expected here.

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 (List) and resource (classes/specs) plus the key return payload (slugs). The phrase 'slugs used by the other tools' implicitly ties it to siblings like decode_build/generate_build, but it never names an alternative, 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?

Usage is only implied: the mention of slugs consumed by other tools suggests this is a discovery call to run before siblings, but there is no explicit when-to-use or when-not-to-use guidance.

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

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

With no annotations provided the description carries the full burden, and it does real work: it identifies data sources, explains that results are aggregated/modal, and discloses the return payload (modal build string, sample size, per-choice pick frequencies). It stops short of stating rate limits, caching, or what happens when a boss/spec yields no data, but the read-only, non-destructive nature is evident.

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 core action and scope are front-loaded in the first clause, with the parameter special-cases following. It is dense and slightly long for a store listing, but nearly every clause adds operational detail rather than 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?

For a four-parameter lookup with no output schema, the description supplies the missing pieces: sentinel content names, the difficulty/content mapping, and the shape of the returned data. An agent could invoke it correctly without opening the schema, leaving only minor unknowns such as miss-handling.

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 only 25%, so the description must compensate, and it does: it clarifies content_name's sentinel values and maps difficulty values to content type (normal/heroic/mythic for raids, 'mythic_plus' for dungeons). Only class/spec are left unexplained, though their meaning is self-evident.

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 ('Get the importable loadout that players actually ran') and pins down scope with data provenance ('aggregated from Warcraft Logs and the M+ leaderboards'). The emphasis on empirically-observed player builds implicitly separates it from the sibling generate_build (synthetic) and decode_build (parse a string).

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 concrete usage: pass a boss/dungeon name, or use the sentinel values 'All Bosses' / 'All Dungeons' with the matching difficulty. It clearly explains the raid-vs-M+ branching, but it does not name sibling tools or state when a different tool (e.g. generate_build) is preferable.

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