Garmin Personal MCP

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

With no annotations, the description carries the burden and does disclose the key non-obvious trait: this is a disk-writing operation that saves a file to the user's machine and returns the absolute path. It also summarizes the payload contents. It omits overwrite behavior, whether the destination directory is fixed, and permission/error cases.

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, front-loaded with the action and side effect, followed by the return value. No filler; every clause carries information.

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

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

For a single-parameter, no-output-schema tool, the description covers the action, the side effect, and the return value, which is sufficient to call it correctly. It stops short of stating where the file lands or what happens on repeated downloads.

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

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

Only one parameter exists and schema description coverage is 100% ('Garmin activity id'), so the schema already fully documents it. The description adds no format, sourcing, or lookup guidance for activityId beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

The description states a specific verb and resource ('Download the ORIGINAL .FIT file of an activity') and emphasizes 'ORIGINAL' plus 'save it on the user's computer', which separates it from metadata readers like getActivity or getActivityLaps. It does not explicitly name a sibling, so an agent must infer the boundary.

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: fetch the raw file when second-by-second data is needed locally, rather than the parsed summaries returned by getActivity/getActivityLaps. There is no explicit when-to-use / when-not-to-use statement or named alternative, leaving the routing to inference.

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

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

With no annotations, the description carries the burden and does well: it discloses that `layout` replaces the entire layout, that `widgets` persists into <data-dir>/widgets.json and propagates to every page from the template, and that `forgetWidgets` is more destructive than `removeWidgets` (library plus page). It does not state reversibility, error behavior, or whether changes are saved atomically, which for a 10-parameter mutation tool is the remaining gap.

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?

Front-loaded with the verb and resource, then one clause per parameter. It is dense but nearly every sentence carries a distinct semantic or side-effect detail, though the inline JSON examples make it longer than strictly necessary for an agent that can read the schema.

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 10-parameter, nested-object mutation tool with no output schema, the description covers the side effects of each parameter, the template/library propagation model, and — critically — what the argument-less read call returns (layout, widgets, missing texts, widget catalogue, widgetApi), substituting for the absent output schema.

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 80%, but the description adds genuine meaning the schema cannot: add-vs-replace semantics for `place`/`layout`, page-vs-library scope for `removeWidgets`/`forgetWidgets`, and worked examples for `widgetTexts` and `languages` including the singular/plural "|" convention and the English fallback. Only `path` and `englishTexts` are left to the schema, which documents both.

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 with scope: it edits the layout, custom widgets or languages of a dashboard page derived from a template. It also disambiguates from the sibling writeDashboard by naming it as a prerequisite, and it discloses the no-argument read mode, so an agent knows exactly what surface the tool covers.

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 a concrete precondition ("a page from the template; call writeDashboard first") and clarifies that calling with no arguments is a read, not a write. What's missing is explicit guidance on when to choose editDashboard over writeDashboard/scheduleDashboardRefresh for a given change, so it stops just short of full when/when-not coverage.

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 does the minimum safety work by declaring the call 'read-only GET'. But for an arbitrary-endpoint escape hatch it says nothing about authentication, rate limiting, error behavior on bad paths, or response shape, all of which matter more here than for a fixed-endpoint 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 sentences, each load-bearing: purpose, path format, query format. The format constraints are front-loaded before the examples, and there is 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?

Only two parameters and no output schema, but this is a generic pass-through where an agent has no idea what comes back or what a failed call looks like. The description covers inputs thoroughly and is silent on return/error semantics, which is the remaining gap for a catch-all tool with zero annotation coverage.

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 100%, so baseline is 3. The description exceeds that by adding format rules the schema omits: 'path' must be relative and start with '/', 'query' takes no leading '?', plus concrete examples of both. The example path and query string materially reduce malformed calls.

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 ('read-only GET on the Garmin Connect Personal API') and immediately carves out its niche: endpoints not covered by the other tools. That positioning lets an agent distinguish it from the named get* siblings without opening any 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?

Gives two explicit selection conditions: the endpoint isn't covered by another tool, or a query parameter name must be adjusted. The 'not covered by the other tools' phrasing functions as an implicit 'when not to use' that routes the agent to the specialized siblings first.

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. 'Get' implies a read-only operation and the description discloses the main response components, but it does not state authentication requirements, error behavior for invalid IDs, or any rate-limit considerations.

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 efficient sentence with the core purpose and returned content front-loaded. There is no redundant or 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 read tool with a fully documented schema and no output schema, the description is mostly complete: it identifies the resource and summarizes the return payload. The main omissions are sibling differentiation and how to obtain a valid activityId, which would improve completeness but are not critical to invoking the 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 100%, and the single parameter is already documented in the schema as 'Garmin activity id'. The description adds no additional meaning, constraints, or examples beyond what the schema provides, so the baseline 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 and resource: get the full detail of one activity. It also lists the returned contents (summary, metadata, splits/laps) and format (JSON), which helps distinguish it from listActivities. However, it does not explicitly differentiate itself from sibling activity tools such as getActivityLaps or getActivityWorkouts.

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 'one activity' and the required activityId, suggesting it is for retrieving a single known activity. But the description gives no explicit when-to-use guidance, no alternatives, and no note that listActivities should be used to discover activity IDs.

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 substantial work: it discloses the data provenance (.FIT file), the output granularity (one row per lap), the generation modes (manual, auto-lap per km, workout step), and the units/interpretation of each metric. It does not mention whether the activity must be fully synced, authorization scope, or what happens for activities without lap data, which keeps it out of the top band.

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 purpose and the sibling contrast are front-loaded, and the long field enumeration is information-dense rather than filler. The parenthetical clarifications (units, intensity values, shared step across drill reps) each earn their place, though the run-on field list could be broken into readable groups.

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, so the description must convey return shape — and it does, listing the row-per-lap structure and every significant column with units. For a single-parameter read tool, nothing an agent needs to call it and interpret the result is missing.

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

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

Only one parameter exists (activityId) and the schema documents it at 100% coverage as "Garmin activity id", so the baseline is 3. The description adds no further detail about the identifier's format or where to obtain it (e.g. from listActivities), so it does not rise above 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?

The description names a specific resource (per-lap records of a single activity) read from the original .FIT file, and enumerates the concrete fields returned (distance, timer time, pace/speed, HR, cadence, form metrics, intensity, lap trigger, workout step). It also explicitly contrasts with getActivity, which lacks this data, so it is distinguishable from siblings without opening a 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?

It states the use case directly ("Use it for intervals and per-km splits") and names the alternative plus its limitation ("getActivity does not have them"), which tells the agent exactly when to route here versus the activity summary tool. Edge guidance on ambiguous semantics — e.g. auto laps of a free run may be labeled interval, and the reps of a drill share one step — further disambiguates interpretation.

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

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

With no annotations, the description carries the full burden and does well: it discloses data provenance (.FIT file), ordering (order first done), field-level null behavior (weight absent when none was recorded), unit conventions (kg, seconds), and a staleness caveat. It omits what happens for non-strength activities (empty result vs. error) and any auth/rate-limit context.

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?

Front-loaded with what is returned, then field details, then the caveat. Every sentence adds information — the catalogue source, unit conventions, and the .FIT-vs-Garmin-Connect distinction all affect how an agent interprets results.

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

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

No output schema and no annotations exist, so the description must convey the return shape, and it does so thoroughly: per-exercise entries, movement category, primary/secondary muscles, and per-set reps/weight/set time/restSec. The remaining gap is edge-case behavior for activities that are not strength training, which an agent would otherwise have to discover by trial.

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

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

Only one parameter (activityId) and schema coverage is 100%, so the schema already fully documents it. The description only implies the activity scoping via 'of an activity' and adds no format, sourcing, or validity detail beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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 resource and scope: strength training sets of an activity, read from the original .FIT file, one entry per exercise. This is clearly distinguishable from siblings like getActivityLaps (laps), getActivityWorkouts (workout definitions) and getActivity (summary), so an agent can route without opening a 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?

It establishes the key selection condition: data comes from the .FIT file, and later Garmin Connect edits (renamed exercises, corrected reps/weights) are not included. That tells an agent when this source is and isn't appropriate. It stops short of naming an alternative tool for the edited view or stating prerequisites (e.g. activity must be a strength activity).

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 delivers: it defines the return shape (ordered steps, intensity, duration type, targets, coach notes), documents the empty-list case, documents that null fields are omitted, and explains the non-obvious REPEAT_UNTIL_STEPS_CMPLT semantics. Missing only minor traits such as error behavior when activityId is invalid.

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?

Front-loaded with the resource definition, then fields, then the repeat-step special case, then the comparison hint. The enumerations of intensity/target values are dense but each earns its place; the REPEAT_UNTIL_STEPS_CMPLT sentence is long but necessary.

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, so the description must explain returns — and it does, covering step structure, ordering, empty results, and omitted nulls. A user can invoke and interpret the tool from this alone; only the repeat-step wording is slightly hard to parse.

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% for the single activityId parameter, so the schema already defines it. The description adds no parameter-level guidance (e.g., where to obtain the id, whether the workout is keyed to a different id), 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?

Names the concrete resource (the planned workout an activity followed, as created in Garmin Connect) and what it contains, which is more specific than the tool name alone. It stops short of a clean verb-first statement ('Returns the planned workout for an activity'), but the intent is unambiguous and it distinguishes itself from the laps/sets siblings.

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

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

Provides one situational hint: 'Compare it with getActivitySets or getActivityLaps for plan against done,' which implies this is the 'plan' side. It does not state when not to use it, or that the activity must exist / be synced, so usage is implied rather than spelled out.

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 discloses the maximum date range (14 days) and the types of events included, but omits behavioral traits such as whether the operation is read-only, authentication requirements, rate limits, or error handling. This is a read tool, but the description does not explicitly confirm that.

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

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

The description is a single, front-loaded sentence that efficiently conveys the tool's purpose and output content. It is dense but not overly verbose, though it could be slightly more structured with bullet points.

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 no output schema, the description adequately explains what data is returned per day, including charge/drain, readings, and events. It covers the essential information an agent needs to call the tool correctly, though it could mention output format or error conditions.

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. The description only reiterates the date format (yyyy-MM-dd) and the 14-day limit, adding no new meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

The description states a specific verb (get) and resource (Body Battery) and details the data returned per day, including charge/drain, readings, and events. It clearly distinguishes this tool as focused on Body Battery data, though it does not explicitly name sibling tools for 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 usage by specifying a date range up to 14 days and listing the data returned, but it offers no explicit guidance on when to choose this tool over alternatives like getDailySummary or getSleep. No exclusions or prerequisites are mentioned.

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 discloses that results are daily and include resting heart rate, but it does not mention permissions, timezone/local-date behavior, no-data handling, or the returned data shape.

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

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

The description is a single front-loaded sentence with no filler. Every component—resource, scope, included resting heart rate, and date format—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 simple one-parameter getter with full schema coverage, the description is minimally adequate. However, with no output schema and no annotations, it could say more about the returned daily heart-rate structure and edge cases.

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

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

Schema description coverage is 100%, and the only parameter is already documented as a yyyy-MM-dd date. The description repeats the date format but adds no further semantics such as timezone or range constraints, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

The description states a specific verb/resource and scope: daily heart rate for one date, including resting heart rate. It is clear what the tool returns, but it does not explicitly distinguish itself from related siblings such as getHeartRateZones, getHrvRange, or getDailySummary.

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 one-date scope implies when the tool is applicable, but there is no explicit when-to-use or when-not-to-use guidance. It also does not name alternatives or explain how to choose between this and related heart-rate or daily-summary 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 exist, so the description carries the full burden: it does disclose two non-obvious behaviors — the hard 14-day range cap and that range responses use Garmin's v2 field names rather than the single-date shape. It omits whether this is strictly read-only, whether auth/existing Garmin session is required, and how errors surface for over-long ranges.

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: purpose and metrics first, scope and parameters second, format notes parenthetically. No filler and nothing to cut.

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 zero required params, no annotations, and no output schema, the description does the necessary work by listing the returned metrics and flagging the differing range response shape. The residual gap is that 'Garmin's v2 field names' is not actionable without external docs and the mutual exclusivity of 'date' vs. fromDate/toDate is only implied.

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 adds real meaning beyond the schema: the pairing requirement is framed as an either/or mode choice and the undocumented 14-day maximum is introduced. It still doesn't say what happens when both 'date' and the from/to pair are supplied.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

Names a specific resource ('Daily user summary') and enumerates the returned metrics (steps, calories, stress, body battery, resting HR), which distinguishes it from narrower siblings like getBodyBattery, getDailyHeartRate, and getSleep. The single-date vs. range scope is stated up front.

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 explains the two invocation modes ('for one date, or for up to 14 days') and which parameters select each, which is genuine usage context. However, it never says when to prefer this aggregate over the many sibling single-metric tools (getSleep, getBodyBattery, getDashboardData), so the agent still infers the choice.

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 behavioral burden well: it discloses caching and incremental-fetch behavior, explains the `sync` result field, and clarifies that units/locale come from the Garmin profile while data remains metric. It does not state permissions or error behavior, but for a read-oriented aggregate tool this is substantial context.

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 front-loaded with the core purpose and contains no obvious fluff, but it is a dense, run-on set of clauses joined by semicolons that makes it harder to parse. It is appropriately sized for a complex aggregate tool, but the structure could be cleaner.

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 aggregate tool with no output schema, the description covers the major returned components (digest, sync, activities, sleep, HRV, units, locale) and caching behavior. It stops short of explaining the full response shape for activities, but provides enough to call and interpret the tool correctly.

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

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

Schema coverage is 100%, so the schema already documents `weeks` and `workouts` thoroughly. The description reinforces the meaning of `weeks` in its data enumeration but adds little about the `workouts` parameter beyond what the schema already says.

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 returns all training-dashboard data in one call and enumerates the included data types (HR zones, fitness age, activities, HRV, sleep, summaries). It distinguishes itself implicitly from individual sibling tools by emphasizing the aggregate 'in one call' scope, though it does not explicitly name alternatives.

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 a helpful hint for retrieving another date range via activities, and explains caching behavior that favors using this tool for rebuilds or updates. However, it does not explicitly guide when to use this aggregate tool versus individual siblings like getHeartRateZones or getSleep.

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 behavioral burden. It usefully enumerates the returned values and components, but it does not disclose access requirements, data availability, or other operational context for the read operation.

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

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

The description is a single front-loaded sentence with no wasted words. It prioritizes the main resource and then briefly explains the returned components.

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 read tool with a fully described schema, the description gives enough output context, including the key returned metrics, even though no output schema exists. The main gap is the absence of usage guidance relative to sibling tools.

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

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

Schema description coverage is 100%, so the single date parameter is already documented. The description repeats the yyyy-MM-dd format but adds no extra semantics such as timezone or valid date range, making the baseline score 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 resource and scope: Garmin fitness age for a given date, including what the result compares and which components are returned. It is clearly distinct from metric siblings such as getSleep or getDailySummary, though it does not explicitly name an alternative.

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 does not say when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. Usage is only inferable from the tool name and the mention of a date parameter.

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 present, so the description carries the full burden. 'Currently configured' usefully signals a read-only snapshot of stored settings rather than a mutation or a computed metric, but it does not state whether zones are default or user-customized, whether they are sport-specific, or on what basis zone boundaries are defined.

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

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

A single tight sentence fragment with no filler, and the key discriminator ('currently configured') is front-loaded. It is arguably slightly too terse given the absence of annotations and an output schema, but nothing is wasted.

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

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

With no annotations and no output schema, the description is the only source of behavioral context, and it omits the one thing an agent most needs: what comes back. Garmin zones vary by sport and by basis (%max, %LTHR, %reserve) and include zone boundaries, so leaving the return shape entirely unspecified is a real 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?

The tool takes zero parameters and the schema is an empty object with full coverage, so there is nothing for the description to disambiguate. The description correctly implies no inputs are needed, so the baseline of 4 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?

Names a specific resource (heart rate zones) with a meaningful qualifier ('currently configured in Garmin Connect'), which implies a retrieval of stored settings rather than measured heart-rate samples. There is no explicit verb and no sibling is named, but an agent can still tell this apart from getDailyHeartRate based on the 'configured' framing.

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 on when to use this versus getDailyHeartRate, getHrvRange, or getFitnessAge—all of which surface heart-rate-related data. There are no prerequisites, no exclusions, and no statement that it takes no arguments and needs no user/sport selection.

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 disclosure burden. It implies a read-only retrieval and states the data is daily/overnight, but says nothing about return shape, missing-data behavior, date-range limits, or whether ranges are inclusive.

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 compact sentence with the resource and the date format front-loaded and no filler. It is telegraphic enough that it reads more like a fragment than a complete instruction.

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 tool with full schema coverage, the essentials are present, but with no output schema the agent gets no hint about the returned HRV fields or aggregation. Adequate but with a clear 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 coverage is 100%, with both fromDate and toDate documented as yyyy-MM-dd, so the description's format note is redundant rather than additive. Baseline 3 applies since the schema already does the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

Names a specific resource (daily overnight HRV summaries) and scope (date range), which clearly separates it from siblings like getSleep or getDailyHeartRate. It never explicitly contrasts itself with those siblings, keeping it short of a 5.

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

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

There is no guidance on when to use this versus getDailySummary, getSleep, or other date-range health tools, and no stated prerequisites. The date-range scope is implied by the parameter names rather than explained.

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 largely delivers: it discloses the 14-night cap, that output is one compact row per night, that missing values are omitted rather than nulled, and that a night without sleep data returns only its date. It doesn't mention auth requirements or rate limits, but for a read-only data getter the behavioral profile is unusually complete.

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 mode-selection information is front-loaded, and the long field enumeration earns its space because there is no output schema. The middle clause is dense and reads as a run-on, but nothing is redundant with 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?

With no output schema and no annotations, the description compensates by enumerating every returned field and the missing-data convention. The one gap is that all four parameters are optional, and the description never says what happens if no date arguments are passed.

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 adds real meaning: 'date' is defined as 'the morning you woke up' (a genuine disambiguation the schema does not make), and it explains that fromDate/toDate must be used as a pair. That goes beyond restating property descriptions.

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 ('Sleep') and resource (Garmin sleep data) and splits the two operating modes: a single night via 'date', or a range via 'fromDate'/'toDate'. The resource is unique among siblings (getActivity, getBodyBattery, getHrvRange), so confusion is unlikely, though no sibling is named explicitly to route an agent away.

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 clearly states the condition for each mode: one night with 'date', up to 14 nights with 'fromDate' and 'toDate', and 'raw=true' for Garmin's JSON. It gives no exclusions or pointers to alternative tools, but the usage context is unambiguous.

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 disclosure burden and does well: it explains that each day's latest entry is returned, what extra scale metrics may accompany it, that an average and boundary weights are included, and the units used. It does not cover auth, rate limits, or no-data behavior, but it substantially describes the read 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 front-loaded with the core purpose and then packs in the important return-shape details without filler. Despite being dense, every clause contributes either scope, output composition, includeAll behavior, or units.

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

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

There is no output schema and no annotations, so the description must explain the return values, and it does so thoroughly: per-day latest entries, optional body-composition metrics, range average, adjacent boundary weights, includeAll behavior, and units. That is sufficient for an agent to invoke and interpret the tool correctly.

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

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

Schema description coverage is 100%, so the schema already documents fromDate, toDate, and includeAll. The description reinforces the date format and includeAll effect and adds unit context, but it does not add much parameter semantics beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

The description clearly identifies weight data over a date range and enumerates the returned components, so an agent can tell this is the weight-history tool. It lacks an explicit verb and does not explicitly contrast with siblings such as getDailySummary, but the resource-specific scope 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?

It gives useful context for the date range and explains when to set includeAll=true, but it does not say when to use this tool instead of related body-composition or daily-summary tools. Usage is implied rather than explicitly guided.

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 burden and does well on output behavior: it discloses ordering, that many fields are conditional ('when Garmin has them'), date format, and the raw JSON alternative. It omits anything about auth requirements, rate limits, or cost of large limits, which keeps it from a 5.

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

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

The lead is well front-loaded with verb, resource, and ordering. However, the return-field enumeration runs long and reads as an exhaustive dump (SWOLF, strokes, best efforts, run/walk segments) rather than information that helps an agent decide or call correctly.

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, so enumerating the returned fields is genuinely necessary and mostly done. Filter semantics and the relationship to getActivity remain underspecified, but an agent can call this correctly with defaults from what is written.

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 names, dates, activityType, limit, and raw are already documented. The description only repeats 'Dates are yyyy-MM-dd' and the raw=true behavior and adds no new filter semantics (e.g., how startDate/endDate and names interact). 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?

A specific verb and resource ('List the user's Garmin activities') plus ordering (most recent first) and a scope hint ('compact summary'). It implicitly contrasts with the detail-oriented sibling getActivity but never names it, so the agent must infer the boundary.

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: 'compact summary' plus the raw=true escape hatch suggests this is the lightweight listing path versus a full single-activity fetch. There is no explicit statement of when to choose this over getActivity, nor guidance on combining date range, names, and activityType filters.

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: it discloses that a real OS scheduler (launchd/cron/Task Scheduler) runs the job outside the assistant, that the machine must be powered on, that coach notes are destroyed on refresh, and that runs must be >=1 hour apart. These are exactly the side effects and constraints an agent must know before mutating state.

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 the user-consent rule are front-loaded, and nearly every sentence carries needed information. It is dense and long, and the trailing note about reporting `next` to the user is slightly tangential, but the cron semantics justify most of the length.

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

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

No output schema exists, yet the description explains the reply contains `next` with upcoming runs in local time and instructs the agent to relay them. Combined with prerequisites, side effects, and full parameter semantics, an agent can call this correctly without further inference.

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 100%, but the description goes well beyond it: it specifies cron as a 5-field local-time expression, numbers only, 0=Sunday, gives a worked example, states the 1-hour spacing rule, explains that cron applies globally while `path` scopes to one page (default main page), and that `off` without `path` stops every 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?

Opens with a specific verb triad and resource: 'Turns on, changes or stops the automatic refresh of a dashboard page.' That clearly separates it from writeDashboard/editDashboard, which author page content rather than scheduling.

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 an explicit activation condition ('only when the user asks for it or says yes'), a prerequisite ('The page must exist (writeDashboard first)'), and a no-arg read-only mode. The agent knows both when to call it and when not to.

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 zero annotations the description carries the full burden and does so richly: states that only data is replaced on an existing page, that older-template pages get migrated while keeping layout, that a replaced page is kept as <file>.bak, that `notes` are server-escaped and capped at 5, and that `preview` writes nothing. This is exactly the mutation/overwrite/backup context an agent needs before a destructive write.

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?

Nearly every sentence carries information, but the text is a dense wall of backticked parameter references with no front-loading of the core use case beyond the first sentence and no bullet or grouping structure. It is readable only if parsed linearly, which hurts fast scanning.

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, yet the description enumerates the digest contents (totals, weekly sums, load, best efforts, races, strength top sets, HRV, recovery, fitness age, sync) and explains result fields like `pageLanguages`, `settings`, `missingProfileLanguage` and `missingWidgetTexts` including the sibling call that fixes each. For a 7-param tool with a nested settings object, this is 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%, so baseline is 3, but the description adds genuine meaning: the `page` marker block requirement, `layout` preset-vs-blank semantics, `settings` replacing (not merging) the page's own values, and `weeks` default of 12. It stops short of elaborating several nested `settings` fields that the schema already covers.

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?

Opens with a specific verb and resource ('Writes the training dashboard page') plus its default path and return value (path + digest). It also distinguishes itself implicitly from editDashboard by referencing that sibling for languages/widgetTexts edits, though the read-only counterpart (getDashboardData) is never named to sharpen the boundary.

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 clear selection logic for its own modes: `layout` vs `page`, `preview: true` for a dry run, and routing to editDashboard for `languages` and `widgetTexts`. It lacks explicit 'when not to use this / use getDashboardData instead' guidance, so the alternative for reading is left to inference.

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