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Polar Training Target Favorites

polar_list_training_target_favorites
Read-onlyIdempotent

Retrieve a list of your saved training targets from Polar. Filter by date range and control pagination.

Instructions

List user training target favorites. Requires training_targets:read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPolar page number.
afterNoOnly return Polar records after this time. Converted to Polar's inclusive from query parameter.
limitNoLocal page-size hint used for pagination safety.
beforeNoOnly return Polar records before this time. Converted to Polar's exclusive to query parameter.
all_pagesNoFetch multiple pages up to max_pages.
max_pagesNoMaximum pages to fetch when all_pages is true.
privacy_modeNoOptional per-call privacy override. Defaults to POLAR_PRIVACY_MODE or structured. raw returns upstream Polar JSON. summary minimizes sensitive health and profile details.
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
recordsYes
endpointYes
has_moreYes
next_pageNo
privacy_modeYes
pages_fetchedYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safe read behavior is known. The description adds the authorization requirement (training_targets:read), which annotations do not cover. No further behavioral traits like rate limits or error handling are disclosed, but given the annotations, the description adds some value.

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

Conciseness5/5

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

The description is extremely concise with two short sentences. The first sentence front-loads the purpose, and the second adds the critical authorization note. Every word earns its place with no unnecessary text.

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

Completeness3/5

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

Given the output schema exists and annotations are rich, the description is adequately complete for a simple list operation. However, it lacks information about pagination behavior or what constitutes a 'favorite' specifically, which could be beneficial. It meets minimum viability but has room for improvement.

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

Parameters3/5

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

Schema description coverage is 88%, so the schema already documents most parameters well. The description does not add any additional meaning or clarification for parameters beyond what the schema provides. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool lists user training target favorites, distinguishing it from sibling tools like polar_list_training_targets which list all training targets. The verb 'list' and resource 'training target favorites' are specific and unambiguous.

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

Usage Guidelines2/5

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

The description only mentions the required scope 'training_targets:read' but provides no guidance on when to use this tool versus alternatives (e.g., polar_list_training_targets) or under what conditions. No contextual tips or exclusions are given.

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

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