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

Annotations already establish the tool as read-only and non-destructive. The description adds useful behavioral context by noting it 'uses metadata conservatively and returns direct links,' which hints at output style and reliance on metadata. However, 'conservatively' is vague and the full behavioral implications are not developed.

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 redundancy. The primary purpose is front-loaded, and the second sentence efficiently adds behavioral detail about metadata usage and output format.

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 moderate-complexity tool with an output schema, the description covers the core comparison intent and output style. However, it omits guidance on when to use the tool versus siblings and leaves the architecture parameter unexplained, so the agent may not fully understand all inputs or selection criteria.

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 for parameter meaning. It does explain that tones are limited to two to four packs, but it does not clarify what the architecture parameter ('1', '2', 'custom') means, nor what types of identifiers are accepted in the tones array. This leaves a significant semantic gap.

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 ('Compare'), a precise resource ('two to four TONE3000 tone packs'), and the dimensions of comparison ('gain clues, EQ clues, cab requirements, flexibility, likely use'). This clearly distinguishes it from sibling tools like search, get, recommend, and troubleshoot.

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 comparing a limited set of existing tone packs, which is useful context. However, it does not explicitly state when to prefer this over alternatives such as search_tone3000 or recommend_tone_chain, nor does it mention any exclusion criteria.

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?

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the bar for additional disclosure is lower. The description adds useful behavioral context by noting that the tool 'classifies captured stages' and that download URLs are 'authenticated,' signaling output composition and auth expectations beyond the raw annotations.

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

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

One compact sentence front-loads the primary action and avoids filler. It loses a point because 'classify its captured stages' is jargon-heavy and the optional architecture parameter is silently omitted.

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 core use case of resolving a tone by ID or URL and retrieving models/download URLs is covered, and the presence of an output schema reduces the need to describe return values. However, the optional architecture parameter is never addressed, and 'captured stages' is vague enough that an agent may not know what classification behavior to expect.

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 needed to explain both parameters, but it only glosses 'tone' as an ID or URL and never mentions the 'architecture' parameter. The enum values '1', '2', and 'custom' remain unexplained, leaving a meaningful semantic gap for agents deciding what to pass.

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 specific verbs tied to a concrete resource: 'Resolve a TONE3000 tone ID or URL,' and states three distinct outcomes (classify captured stages, list models, return authenticated download URLs). This clearly separates it from search-oriented siblings like search_tone3000, which focus on discovery rather than resolving a specific tone.

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 'Resolve a TONE3000 tone ID or URL' implies the tool is meant for cases where the agent already has a specific tone identifier. However, the description never explicitly says when to prefer this tool over search_tone3000 or other siblings, and it gives no exclusions or alternative routing.

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?

Annotations already establish read-only and non-destructive behavior. The description adds useful context by noting the profile is optional and local, suggesting it may not exist and is not a remote/cloud search. No behavioral claims contradict the annotations.

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

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

One tight sentence with the action and resource front-loaded; the content list is informative without padding. No redundant phrases.

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-optional-parameter read tool with readOnly annotations and an output schema, the description sufficiently conveys the tool's domain. Slight gap: it doesn't explain profileId selection, but the schema's default and pattern cover invocation correctness.

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 for the sole parameter is 0% and the description never mentions profileId, its default value, or when to pass a custom ID. The schema's name/default/pattern partially mitigate this, but the description itself adds no parameter-level 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?

Description uses a specific verb ('Read') and a clearly scoped resource ('optional local profile') and lists its contents (guitars, pickups, tunings, interface, amps/IRs, monitoring device), making it distinguishable from the search-oriented sibling tools.

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?

'Read an optional local profile' provides clear context for when to call this tool: retrieving a user's saved local tone setup. It does not name alternatives or exclusions, but the 'local' qualifier implicitly distinguishes it from the search_tone3000/AmpliTube siblings and save_user_tone_profile.

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?

Annotations already establish readOnlyHint=true and destructiveHint=false, so the safety profile needs no further explanation. The description adds useful behavioral detail beyond the annotations: the result depends on whether TONE3000 is 'configured,' routing is capture-aware, and the rig includes gain staging and cab advice. No contradiction with annotations.

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

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

The description is a single compact sentence with the main verb and scope front-loaded. Each listed element adds information about what the recommendation will contain; there is no filler. The only weakness is jargon like 'capture-aware routing' and 'when configured' that compresses too much.

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 six parameters, a required target, and an output schema, the description is not complete enough to invoke correctly: it never explains what `target` means, what 'configured' refers to, or how this recommendation tool relates to the sibling search/troubleshoot tools. Although the output schema covers the return shape, input semantics and tool-selection context remain 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?

With schema description coverage at 0%, the description carries the burden of explaining parameters, but it only hints at preferredWorkflow ('TONE3000-focused, AmpliTube-only, or hybrid') and starting settings. The required `target` parameter is never defined, and `tuning`, `guitarType`, `pickupType`, and `desiredGain` receive no 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?

The description states a concrete action — 'Build a practical ... rig' — and enumerates what that rig includes: capture-aware routing, starting settings, cab advice, gain staging, and live TONE3000 candidates. It is clear that this is a recommendation/construction tool rather than a search, get, or troubleshoot tool, though it does not explicitly name a sibling to distinguish 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 wording makes it clear the tool is for assembling an entire rig, which implies use when a user wants a full recommendation rather than a component search. However, the description never provides explicit alternatives or when-not-to-use guidance, such as 'use search_tone3000 if you need a specific tone.'

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?

Beyond the annotations (readOnlyHint=false, destructiveHint=false), the description adds genuine behavioral value: it specifies the write scope ('only to the server's local profile store') and gives a privacy guarantee ('never sends profile data to TONE3000') that an agent can relay to a user. The 'Replace' wording discloses overwrite semantics. No contradiction with annotations.

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

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

Two sentences, roughly 25 words, with the core action front-loaded and the high-value privacy/scope note second. Every sentence earns its place and there is zero 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?

An output schema exists, so return values need no explanation, and the privacy/write-scope story is clear. However, for a write tool with a complex nested input and 0% schema coverage, the description leaves the agent to infer the expected profile structure and the meaning of profileId, making the input side under-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?

Schema description coverage is 0%, so the description carries the full burden for parameter meaning but does not compensate. The 9-field nested profile object (guitars, tunings, pickupTypes, favoriteAmps, etc.) and the profileId parameter (default 'default') are entirely unexplained; only the phrase 'local tone profile' vaguely gestures at the profile argument.

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 ('Replace') with a clear resource ('local tone profile'), and the tool is readily distinguishable from read/search siblings like get_user_tone_profile and search_tone3000. Minor deductions: 'optional' is ambiguous since the profile parameter is actually required, and the title says 'Save' while the description says 'Replace,' a slight semantic mismatch.

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 privacy note ('never sends profile data to TONE3000') and 'local profile store' phrasing imply a local-only persistence use case, which is useful context. However, the description never names an alternative or states when-not-to-use it, and it doesn't contrast with the natural read sibling get_user_tone_profile.

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?

Annotations already mark this as read-only and non-destructive, so the bar for added behavior is lower. The description adds valuable transparency by stating that mapping confidence is included and that uncertain product identities are not presented as fact, and it clarifies that the source is a curated, closed layer (consistent with openWorldHint=false). It does not disclose pagination or result-count behavior, but that is secondary for a read-only search.

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 sentences with no filler: the first front-loads the action, resource, and filter dimensions; the second adds a meaningful caveat. Every sentence 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 read-only search with an output schema and safe annotations, the description covers the core search dimensions and the confidence behavior. It is less complete on tool-selection context: it never tells the agent when to choose this tool over the Tone3000-focused siblings, and it omits the limit parameter. Overall, adequate but with clear routing 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 0%, so the description must compensate. It maps the main query dimensions (gearType, ampFamily, gainClass, and likely keywords via 'style'), but it does not mention limit or explicitly connect 'style' to the keywords parameter. The parameter names and enums are self-explanatory, which raises the baseline usefulness, but the description still leaves some parameter semantics to inference.

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 ('Search') and identifies a bounded resource ('bundled, curated AmpliTube 5 MAX knowledge layer'), plus the main filter dimensions. It does not explicitly contrast itself with sibling search tools like search_tone3000, so it falls just short of full peer 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?

There is no statement about when to prefer this tool over siblings (e.g., search_tone3000 or search_tone3000_cabs) or when not to use it. The filter list implies usage scenarios, but the agent is left to infer the boundary between the AmpliTube knowledge layer and the Tone3000 catalogs.

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?

Annotations already mark the tool read-only and non-destructive. The description adds value by disclosing that it operates on 'authenticated' tone packs and returns links rather than downloads, which is behavior beyond the annotations. It does not mention rate limits or pagination, but the annotation bar is lower.

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 action and scope are front-loaded, and the second sentence adds a useful output clarification without drifting.

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 complex 10-parameter search tool with an output schema, the description captures the core behavior, key search criteria, and the nature of the return values. It does not detail pagination or how multiple parameters combine, but the output schema and self-explanatory parameter names fill many 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?

With 0% schema description coverage, the description must compensate. It maps several parameters to concepts ('amp family' to ampMake, 'tags' to tags, 'capture type' to architecture/category, 'rank' to sort), but leaves page, pageSize, gain, and the relationship between query and artistOrStyleKeywords unaddressed. This is partial compensation, not full.

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 ('Search authenticated TONE3000 tone packs') and clearly states the return type ('direct tone-page links, not model downloads'). This differentiates it from siblings like search_tone3000_cabs, which targets cabs rather than tone packs.

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 clearly frames the tool's context: finding tone packs by amp family, style, artist, song, tags, and capture type. It implies this is the go-to search for tone packs, but it does not explicitly name alternatives or state when-not-to-use, so it stops short of fully explicit routing.

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?

The annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds a useful behavioral detail: the tool returns direct tone-page links rather than full tone data. It does not detail pagination or matching semantics, but this is acceptable for a read-only search tool with an 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?

The description is a single front-loaded sentence that states the core purpose, the search dimensions, and the return type. Every part earns its place, with no redundant 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 read-only, optional-parameter search tool with an output schema, the description covers the essentials: what is searched, the main filters, and what is returned. It does not explicitly mention that all parameters are optional or how pageSize behaves, but the schema provides those details and they are not critical for a basic 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?

Schema description coverage is 0%, so the description needs to compensate. It gives practical meaning to speakerType, cabinetSize, and character by relating them to speaker, cabinet size, and tonal character. However, it does not explain pageSize or provide details about acceptable values or filtering behavior, so the compensation is only partial.

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 ('Find'), a specific resource ('TONE3000 cabinet/IR tone packs'), and the search facets (speaker, cabinet size, tonal character). It clearly distinguishes this from the broader sibling search_tone3000 by focusing on cabinet/IR packs and by noting it returns direct tone-page links.

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

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

The description implies when to use it: when searching for TONE3000 cabinet/IR tone packs by speaker, cabinet size, or character. However, it does not explicitly say when not to use it or why it should be chosen over search_tone3000 or search_amplitube_gear, so the routing guidance is only implicit.

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?

The description adds meaningful behavior beyond the readOnly and destructive annotations: the tool returns prioritized recommendations, does not apply changes, and actively checks for accidental double-cab routing. This clarifies the agent's expectations about output ordering and an embedded diagnostic. There is no contradiction with the annotations.

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

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

The entire description is one compact, front-loaded sentence with zero filler. Every phrase contributes meaning: the call to action, the output nature, the problem scope, and the additional routing check.

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

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

Given the simple two-parameter schema and the presence of annotations and an output schema, the description covers the main task and the notable diagnostic behavior. It does not need to restate return values because an output schema is available. The main remaining gap is richer guidance on composing currentRig, but overall the tool is adequately 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?

Schema documentation coverage is 0%, so the description must compensate for both parameters. The listed tone problems give concrete meaning to the 'problem' parameter, and the double-cab routing check implies that currentRig should include signal chain/cab details. However, the description does not specify how detailed currentRig must be or the expected phrasing for the problem, leaving some ambiguity.

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 ('Return') and names a concrete resource: prioritized, exact changes for guitar tone problems. It lists distinct issue categories (fizzy, muddy, thin, harsh, boomy, over-compressed, slow/soft attack) and a diagnostic check for double-cab routing, which differentiates it from the sibling search/recommend tools. However, it does not explicitly name a sibling or state what it is not, so it falls just short of perfect 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 phrase 'for fizzy, muddy, thin, harsh, boomy, over-compressed, or slow/soft attack problems' provides a clear context for when this tool is appropriate. The required currentRig and problem inputs further imply the intended use: diagnose an existing rig rather than search or recommend gear. It gives no explicit exclusions or alternative routing, but the context is clear enough for selection.

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