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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered and the description carries a lighter burden. It adds only the season-wide scope, saying nothing about pagination, the effect of the optional 'dates' value, or how the calendar is returned.

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 short, front-loaded sentence with the verb first and no filler or repetition. It is appropriately sized, though it is arguably too terse for a three-parameter tool rather than wordy.

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 parameter documentation, so the description is the only source of meaning, and it does not explain what the returned calendar looks like or how 'dates' scopes it. For a league-wide schedule tool with an open-world hint, this leaves real 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 supply the meaning of 'sport', 'league' and especially the optional 'dates' argument, whose format (single date? range? season string?) is entirely undefined. The description mentions a season but adds no format, no defaults, and no required/optional distinction, leaving every parameter undocumented.

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 concrete verb ('Fetch') and resource ('league schedule calendar and active event dates across a season'), which is enough to tell it apart from team-scoped siblings like games_get_team_schedule. However, it never names that sibling or any other alternative, so the differentiation is left to inference.

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

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

The description gives no when-to-use guidance, no exclusions, and no alternatives. With near-identical siblings such as games_get_team_schedule and games_get_league_events in the same namespace, an agent has to guess which one to pick.

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, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the source ('ESPN Core API') and that odds are across sportsbooks, but does not disclose authentication needs, rate limits, or return structure.

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. It states the resource and scope efficiently.

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 four parameters, 0% schema coverage, and no output schema, the description is too thin. It covers the purpose but omits any parameter guidance or return-value context.

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

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

Schema description coverage is 0% for four parameters, including three required ones. The description does not explain sport, league, event_id, or competition_id, so it fails to compensate for the schema's lack of parameter documentation.

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: fetch sports betting odds, point spreads, over/under, and moneylines. This clearly distinguishes it from sibling tools that retrieve scores, standings, or futures.

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

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

The description gives no guidance on when to use this tool versus alternatives such as games_get_futures or games_get_scoreboard. Usage is only implied by the purpose.

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, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds no behavioral detail beyond that - no notes on coverage of bookmakers, freshness of odds, or result size - so it neither harms nor enriches the annotation set.

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

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

A single front-loaded sentence with a parenthetical enumeration of market types; no filler. Slightly terse given the unstated parameter formats, but structurally clean.

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, no parameter documentation in the schema, and only safety annotations, the definition omits what an agent needs: valid sport/league identifiers, season format, and any sense of the returned market structure. Adequate for identification, incomplete for 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 carries full responsibility for sport, league, and season semantics, yet it explains none of them - not the accepted league values, nor the season format (year vs season string). Only 'season futures' hints loosely at the season parameter.

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 ('Fetch season futures betting markets') and enumerates what it covers (championship odds, conference champions, win totals), which separates it from games_get_event_odds. It does not name a sibling explicitly, so it stops short of a 5.

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

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

The phrase 'season futures' implies when the tool applies versus per-event odds, but there is no explicit when/when-not guidance and no named alternative such as games_get_event_odds. Usage is inferable but not stated.

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

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and openWorld, so the safety profile is covered. The description adds that the data comes from ESPN's predictive model, which is useful source context, but discloses nothing further about freshness, coverage, or failure behavior for an open-world fetch.

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 with the resource front-loaded after the verb; nothing is wasted. It is arguably slightly under-specified rather than verbose, but it is well structured.

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 0% parameter description coverage, the description carries the full burden but only sketches the return contents. It never explains how to supply the required sport/league/event_id identifiers, leaving a core gap for a 4-parameter 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 description coverage is 0% across four parameters (sport, league, event_id required; competition_id optional/nullable). The description mentions no parameters at all, so it does not compensate for the undocumented schema — an agent gets no hint about accepted identifier formats or how competition_id interacts with league.

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

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

States a specific verb (Fetch) and resource (ESPN predictive matchup model win percentages, projected margins, ratings), which clearly conveys what is returned. However, it does nothing to distinguish itself from close siblings like games_get_win_probabilities, games_get_event_odds, and games_get_power_index, whose outputs overlap conceptually.

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 when-to-use guidance, no prerequisites, and no mention of any alternative tool. With a crowded sibling set (win probabilities, odds, power index), the absence of routing guidance leaves the agent to guess which predictor-adjacent tool to call.

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, idempotentHint, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered without the description. The description adds that data is "real-time" and sourced from the ESPN Core API, which hints at freshness and upstream dependency, but says nothing about behavior when the event is not live or how missing situations are returned.

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 that packs the resource, the returned field list, and the data source with no filler. Every clause 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 four-parameter tool with zero schema documentation and no output schema, the description leaves the entire input contract opaque — an agent cannot tell what values are valid for sport/league or how event_id is obtained. It compensates only by listing returned fields; input-side guidance is absent.

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% across four parameters (sport, league, event_id, competition_id), and the description documents none of them. It neither clarifies accepted values for sport/league nor explains what event_id or the optional competition_id identify, so the description does nothing to compensate for the coverage 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?

States a specific verb (fetch) and resource (real-time game situation) and enumerates the concrete fields returned — down, distance, yardline, possession, red zone, clock — which clearly separates it from siblings like games_get_play_by_play or games_get_game_summary. It does not name those siblings explicitly, so it stops short of full 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 word "real-time" implies this is the live/in-progress snapshot, but there is no explicit statement of when to use it versus games_get_play_by_play, games_get_game_summary, or games_get_scoreboard. No prerequisites 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.

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful transparency about the returned data scope (including live win probability curve and in-game injuries), but it does not disclose freshness, rate limits, authentication needs, or pagination 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 single sentence is front-loaded with the verb and resource, then lists contents efficiently. It is fairly long due to the enumeration, but every item earns its place by describing the return scope.

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 carries the burden of explaining return values, and it does so thoroughly. However, it leaves the three required input parameters (sport, league, event_id) mostly unexplained, which is a notable gap for a tool with no parameter descriptions.

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 mentions an event ID but does not explain the sport or league parameters, their expected format, or how they interact with event_id, leaving two required parameters semantically undocumented.

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 (Fetch) and resource (comprehensive game summary for an event ID), then enumerates the exact data categories returned. This clearly distinguishes it from narrower siblings like games_get_event_odds or games_get_win_probabilities, which each cover only a subset of this summary.

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 explicit guidance on when to use this tool versus alternatives. It does not mention that it is an aggregate endpoint that may replace calls to several sibling tools, nor does it state any prerequisites or exclusions.

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, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered. The description adds only that the leaderboards span a league and gives example stat categories; it says nothing about pagination, result size, or the effect of the limit/sort parameters. Adequate but thin against a lowered bar.

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

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

A single front-loaded sentence with the resource stated immediately and a parenthetical of concrete examples. No filler, no redundancy.

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

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

No output schema exists, but the return format (ranked leaderboard rows) is inferable from the purpose. The description is not complete enough for a five-parameter tool with zero schema documentation, since category/sort/limit behavior is left entirely unexplained.

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 five parameters, yet it only loosely alludes to stat categories (passing yards, rushing, points, strikeouts) without tying them to the 'category' parameter. Nothing explains 'sort' semantics or the meaning of the default limit of 10.

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 clear verb ('Fetch') and resource ('statistical leaderboards across a league for individual athletes'), and the 'individual athletes' scope implicitly distinguishes it from the sibling games_get_leaders_by_team. However, it never names that sibling, so an agent must infer the split from the tool name alone.

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 when-to-use guidance, no prerequisites, and no routing to alternatives. Given the near-identical sibling games_get_leaders_by_team, the omission of an explicit 'use X instead when you want team-level leaders' is a real gap.

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, idempotentHint=true, destructiveHint=false, and openWorldHint=true, covering the safety profile. The description adds no behavioral context beyond that — no note on pagination, default limit behavior, or how sorting/category selection affects results.

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 front-loaded sentence with no filler, and the resource plus scope are established immediately. It is tight, though arguably under-specified rather than concise.

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 5 parameters at 0% schema coverage and no output schema, the description should carry more of the load. It omits the required sport/league inputs and the meaning of category, sort, and limit, leaving an agent unable to call the tool correctly from the description alone.

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% and the description never mentions sport, league, category, sort, or limit. The category examples ('total offense', etc.) hint at what 'category' might accept but do not map to any parameter name, so the description fails to compensate for the completely undocumented schema.

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

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

States a specific verb ('Fetch') and resource ('team statistical leaderboards') and gives concrete examples (total offense, defensive points allowed, efficiency). The 'by team' scoping distinguishes it from games_get_leaders_by_athlete, though it never names that sibling explicitly.

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

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

No when-to-use guidance, no prerequisites, and no mention of alternatives such as games_get_leaders_by_athlete or teams_get_team_statistics. The agent must infer the use case from the resource name alone.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond a restatement of the returned data - no rate limits, no season-default behavior, no data-freshness notes.

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

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

A single front-loaded sentence with no filler; the verb and the three returned data categories are packed efficiently.

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?

Three parameters with zero schema descriptions, no output schema, and no enums leave the agent guessing about valid identifiers and default-season behavior. For a tool whose only documentation is one sentence, this is 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 schema gives only names and types for sport, league, and season. The description does not explain expected string formats (e.g., 'nba' vs 'basketball'), nor what omitting season (default null) returns, so it fails to compensate for the coverage 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?

States a specific verb (Fetch) and resource (league draft), and enumerates the returned content: rounds, team selections, pick results. It is clearly distinguishable from the scoreboard/standings/roster siblings, though it does not name a related tool to contrast with.

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 call this versus the many other games_* endpoints, no mention of prerequisites, and no indication of what sport/league/season combinations are valid. The agent must infer usage entirely from the name.

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, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered. The description adds no behavioral context beyond that — nothing about pagination, response size, coverage of past vs. future events, or open-world latency.

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

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

A single front-loaded sentence with no filler; the scope ('league-wide') and the optional filter are stated immediately. It is efficient, though the extreme brevity is part of what leaves gaps elsewhere.

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

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

For a 3-parameter tool with 0% schema description coverage and no output schema, the description is too thin. It neither explains the required sport/league inputs nor the date format, and gives no sense of what the returned calendar contains.

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 carry parameter meaning, but it only gestures at the 'dates' filter without giving a format (range string, ISO date, season?). The required 'sport' and 'league' parameters are never explained, leaving an agent to guess accepted values.

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 ('Fetch') and resource ('league-wide calendar of scheduled events'), and the word 'league-wide' implicitly distinguishes it from team-scoped siblings like games_get_team_schedule. However, it does not explicitly differentiate from the similarly named games_get_calendar, so an agent may still hesitate between the two.

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 only usage hint is that dates are 'optional', which is already evident from the schema. There is no guidance on when to choose this over games_get_calendar or games_get_team_schedule, and no prerequisites or exclusions are stated.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the output is a hierarchy (conference/division/structural groups), which is some useful context beyond annotations, but it says nothing about scope, completeness, or freshness of the data.

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

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

A single front-loaded sentence with no waste. Every word 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?

Given a league-hierarchy tool with no output schema and undocumented parameters, the description should explain the return shape, nesting, and how sport/league are matched. It does none of that, leaving an agent with little beyond the name.

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 could add format or expected-value guidance for sport and league. It does not: it names no parameters and gives no examples. With only 2 parameters and a baseline of 4 for low-param tools, the lack of any parameter guidance and the 0% coverage pull this down to a middling score.

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 (Fetch) and resource (league conference, division, and structural group hierarchies), which is clearer than a pure tautology. However, it doesn't distinguish this tool from adjacent siblings like games_get_standings or games_get_league_events, which also expose league structure. An agent must infer relevance from the name alone.

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 when-to-use guidance is provided. There is no mention of prerequisites, of when this should be preferred over games_get_standings, or of any exclusion criteria. For a tool with many similar league-scoped siblings, this is a notable gap.

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, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the useful detail that data comes from the ESPN Core API, but it is silent on pagination behavior despite the tool exposing page/limit parameters, which is the main behavioral 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?

A single efficient sentence with the resource front-loaded and no filler. It is well sized, though the brevity is partly a symptom of missing information rather than pure economy.

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 fetch tool with a fully-typed schema and safe annotations, the description covers purpose and content adequately; deeper parameter or pagination detail is a nice-to-have rather than a blocker for 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% across 6 parameters, so the description carries the full burden, and it explains none of them. It names returned data fields (clock, downs, yardage) rather than clarifying sport/league/event_id/competition_id, pagination defaults, or the distinction between required and optional inputs.

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

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

States a specific verb ('Fetch') and resource ('granular play-by-play sequence') and enumerates the returned content (clock, downs, distances, yardage, scoring flags), which clearly separates it from aggregate siblings like games_get_game_summary. It does not, however, explicitly contrast itself with the closest sibling, games_get_game_situation.

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 choose this tool over games_get_game_summary, games_get_game_situation, or games_get_scoreboard, and no prerequisites or exclusions are stated. The agent must infer the use case entirely from the purpose sentence.

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, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description adds only the content of the payload (FPI/BPI, efficiency metrics) and says nothing about scoping, season defaults, rate limits, or failure modes, so it contributes little behaviorally.

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 short sentence with no filler, front-loading the verb and resource. It is efficient, though it is arguably too terse given the surrounding gaps.

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 the description does give a brief indication of what is returned (FPI/BPI ratings and efficiency metrics), which partially covers return semantics. However, with 0% parameter coverage it leaves sport/league/season formats unspecified, so it is only partly complete for this 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 description coverage is 0% across all three parameters (sport, league, season), and the description names none of them or their accepted values. It only weakly implies a league-level scope, so it fails to compensate for the undocumented schema.

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

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

States a specific verb ('Fetch') and resource ('league team power index ratings'), and names the concrete metrics (FPI/BPI, efficiency), so an agent knows it returns power ratings rather than raw standings. It does not explicitly distinguish itself from the adjacent sibling games_get_rankings, 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 statement of when to use this tool versus alternatives such as games_get_rankings or games_get_standings. Usage can only be inferred from what the data is, with no prerequisites or exclusions offered.

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, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that the output includes current and previous ranks, votes, and records, which is useful but not rich behavioral context beyond what annotations provide.

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 efficient sentence with the main action front-loaded. It avoids waste but could be slightly more structured by separating purpose from parameter hints.

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 tool requires sport and league, but the description does not explain valid values or format for either, and there is no output schema. While it describes what data is returned, the lack of parameter guidance leaves a significant gap for 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 must compensate for both parameters. It gives examples for sport ('NCAAF', 'NCAAB') but provides no guidance on league values or format, leaving parameter semantics largely undocumented.

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

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

States a specific verb ('Fetch') and resource ('Top 25 national polls and rankings') with concrete examples (AP Top 25, Coaches Poll, CFP rankings). It implicitly distinguishes from siblings like standings by focusing on polls/rankings, but does not explicitly name an alternative to avoid confusion.

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 tool versus alternatives such as games_get_standings or games_get_power_index. The description only states what it does, not the context or conditions for its use.

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, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description adds content-level context ('live scores', probable starters, TV broadcasts) but says nothing about freshness, polling cadence, or result volume — the traits that actually matter for a live-score endpoint.

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

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

Two tight sentences, front-loaded with the payload contents and followed by the filter set. No filler or restatement of the tool name.

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 0% schema description coverage across 7 parameters, the description carries the full burden. It covers most parameters and the returned fields, but omits the limit/pagination behavior and any sibling differentiation, which an agent needs before calling a default-limited list endpoint.

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

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

Schema coverage is 0%, so the description must compensate, and it largely does: it gives the date format (YYYYMMDD), explains week, season type, and what 'group' means (Top 25 groups). It omits the limit parameter and its default of 50, leaving one of seven parameters unexplained.

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

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

States a specific verb (fetch) and resource (live scores/scoreboard) and enumerates the returned content — scores, status, periods/innings, clocks/outs, broadcasts, probable starters. It does not distinguish itself from close siblings like games_get_scoreboard_header or games_get_game_summary, 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?

The filter list (date, week, season type, Top 25 groups) implies when the tool is useful, but there is no explicit when-to-use or when-not-to-use statement and no named alternative. An agent comparing it against games_get_scoreboard_header gets no routing guidance.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, covering the safety profile. The description adds 'live ticker' implying real-time data, but does not disclose rate limits, auth needs, or return format. With annotations doing the heavy lifting, a 3 is appropriate.

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

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

A single front-loaded sentence with no wasted words. The verb and resource come first, making it easy to scan.

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 read-only tool with annotations covering safety, the description is minimally adequate but leaves important gaps: it does not clarify what 'header data' includes versus the full scoreboard, nor does it document the two parameters at all.

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

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

Schema description coverage is 0% for both parameters, so the description must compensate. It only restates the parameter names ('for a sport and league') without adding format, allowed values, or default behavior, leaving the parameters effectively undocumented.

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

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

States a specific verb 'Fetch' and resource 'scoreboard header data', scoped to 'a sport and league'. The word 'header' implicitly distinguishes it from the full scoreboard tool, but the description does not explicitly name or contrast with 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 no guidance on when to use this tool versus alternatives like games_get_scoreboard or games_get_game_summary. Usage is only implied by the resource name.

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, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered. The description adds the concrete payload shape (records, percentages, games back, streaks, differential), which is useful, but says nothing about pagination, response format, or which league/sport values are accepted.

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 that leads with the verb and resource, then lists outputs efficiently. The trailing field enumeration is slightly long but each item adds real 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?

There is no output schema, so the description's field list usefully compensates for return-value documentation. However, with 0% parameter coverage and no differentiation from sibling standings tools, the definition is adequate but leaves clear gaps for an agent invoking it.

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% and there are three parameters (sport, league, season), none of which the description explains. 'Current or historical' only loosely gestures at the season parameter and never states its format, accepted values, or default-null behavior.

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

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

States a specific verb ('Fetch') and resource ('standings') and enumerates the returned data (win-loss records, win percentages, games back, streaks, differential). It does not distinguish itself from near-siblings like games_get_rankings or games_get_power_index, which an agent could plausibly confuse with standings data.

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 notes it covers 'current or historical' standings but gives no when-to-use guidance, no exclusions, and no routing to alternatives such as games_get_rankings. An agent has no basis for choosing this over the other standings-adjacent siblings.

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, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds value by disclosing the shape of the returned data (opponents, scores, dates, home/away, event IDs), which matters because there is no output schema, but it says nothing about season defaulting, result volume, or pagination.

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

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

A single front-loaded sentence with no filler; the resource and payload are stated immediately. It is efficient, though it spends its only clause on return fields rather than the usage/parameter gaps that matter more.

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

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

With no output schema, the description usefully describes what comes back, which covers the return-value burden. However, for a 4-parameter tool with 0% schema coverage and no annotations about data volume or defaults, the absence of any parameter or season-default guidance leaves real 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% across four parameters, so the description must compensate and largely does not. It hints at 'team' (team_id) and 'season schedule' (season) but never explains sport/league values, nor that season is optional and nullable with a null default meaning the current season.

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

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

States a specific verb ('Fetch') and resource ('full season schedule and historical game results for a specific team'), and enumerates the returned fields (opponents, scores, dates, home/away, event IDs). It is clearly distinguishable from scoreboard/standings siblings by being team-scoped, though it never names an alternative to contrast with.

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 when-to-use guidance, no statement of when this is preferable to games_get_scoreboard or teams_get_athlete_gamelog, and no note on prerequisites or that 'season' defaults to the current season when omitted. The agent must infer usage entirely from the name.

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 readOnly, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds value by naming the transaction categories returned, which is central since there is no output schema, but it says nothing about ordering, volume, or how 'recent' is bounded.

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

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

A single sentence that is front-loaded on the action and then spends its remaining words on the enumerated output categories. No filler, no restatement of the title.

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?

Adequate for a simple read-only list call: annotations cover safety and the description covers content. However, with no output schema and no parameter documentation, the agent still lacks sport/league value formats and any sense of result size or ordering – gaps that matter for 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% for all three parameters, so the description carries the full burden and does not meet it. It never explains the accepted value formats for sport/league, nor the role of limit beyond the schema default of 25 – the phrase 'league player transactions' only weakly implies that sport and league scope the query.

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?

Uses a precise verb+resource ('Fetch ... player transactions') and enumerates the exact record types returned (trades, free agent signings, waiver claims, roster activations, IR designations). No sibling tool covers league transactions, so an agent can distinguish it from games_get_league_events or teams_get_team_roster on the name alone.

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 when-to-use or when-not-to-use guidance, no mention of alternatives, and no prerequisites stated. The word 'recent' implies a recency scope but the description never says how recent, whether pagination applies, or when to prefer this over news_get_news for roster moves.

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, idempotentHint=true, destructiveHint=false and openWorldHint=true, so safety and idempotency are covered structurally. The description adds scope value ('high-density' sample volume, 'across an entire game'), but says nothing about pagination, the effect of the limit parameter, or data freshness. With annotations carrying the safety profile, this partial addition merits a 3.

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

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

A single front-loaded sentence with no filler, leading with the verb and the resource. It is efficient, though the phrase 'high-density ... curve samples' is jargon-heavy without explaining what a sample contains.

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 should describe the returned probability timeline structure and the five undocumented parameters. For a 5-parameter, 0%-coverage tool with no output schema, one sentence is materially incomplete.

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

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

Schema description coverage is 0% for all five parameters, so the description must compensate and it does not. Required sport/league/event_id, the limit default of 50, and the nullable competition_id are never explained; 'across an entire game' only vaguely gestures at event scoping and conflicts with a limit-based sample count.

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 verb ('Fetch') and resource ('win probability timeline curve samples') and scopes it to 'an entire game', so an agent knows what data comes back. It does not name or contrast any sibling (e.g. games_get_game_predictor, games_get_play_by_play), so the boundary with related prediction/play tools is left to inference.

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 when-to-use or when-not-to-use guidance and no alternative tool is named, despite several siblings (games_get_game_predictor, games_get_play_by_play, games_get_game_situation) that plausibly overlap. Usage is only implied by the resource name.

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, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds the content categories returned but does not disclose return format, pagination, authentication, or rate-limit behavior beyond what the annotations provide.

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 action and content types efficiently. It is appropriately sized for a concise tool description, though the extreme brevity contributes to gaps elsewhere.

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 0% schema description coverage and no output schema, the description should clarify parameter formats and return shape. It does not, leaving the agent with unresolved questions about valid sport/league values, the role of 'limit', and the response structure.

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 carry parameter meaning. It mentions 'sport' and 'league' but gives no format, valid values, or examples, and it omits the optional 'limit' parameter entirely, adding little beyond the schema property names.

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 ('Fetch') and resource ('recent news headlines, injury updates, breaking analysis, and roster moves'), making the tool's purpose clear and distinguishing it from the games/teams data siblings. It does not explicitly name a sibling alternative, but the news content types differentiate it sufficiently.

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 a given sport and league' implies the context for use, but the description provides no explicit when-to-use guidance, no exclusions, and no comparison to alternative tools. Usage is implied rather than stated.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the shape of the returned content (birthplace, college, draft, measurements), which is useful, but it says nothing about permissions, rate limits, or failure behavior beyond what the annotations provide.

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 that wastes no space. It is efficient, though the long field list is doing double duty as an ersatz output description.

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, describing the returned biography fields is genuinely valuable and the description does that. However, the three required input parameters remain unclarified and there is no routing guidance among sibling tools, so it is only partially 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 description coverage is 0% and all three required parameters (sport, league, athlete_id) are undocumented in the schema. The description is entirely about return fields and contributes nothing about parameter meaning, format, or valid values, leaving the required inputs unexplained.

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

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

States a specific verb (fetch) and resource (athlete biography) and enumerates the fields returned. It implicitly separates itself from sibling stat tools, but never names them, so an agent must infer the boundary against teams_get_athlete_overview and teams_get_athlete_stats.

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 when-to-use guidance and no alternatives named. With several adjacent athlete tools (overview, stats, gamelog, splits), the description gives no condition for choosing this one.

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, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only the 'entire season' scope; it does not clarify what happens when the optional season is omitted (default null) or how results are ordered/limited.

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

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

A single front-loaded sentence with no filler; the core action and scope appear immediately. It is efficient, though it is arguably too terse given the surrounding ambiguity.

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 0% parameter coverage, the description carries the full burden but omits key details: what a gamelog entry contains, the season default behavior, and how this differs from the many adjacent athlete-stats tools. Incomplete for an agent to invoke confidently.

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% and the description supplies no meaning for sport, league, athlete_id, or season formats/values. The phrase 'across an entire season' only faintly hints at the season parameter and leaves the null default unexplained, so it does not compensate for the coverage 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?

States a specific verb (fetch) and resource (game-by-game statistical performance log) scoped to one athlete over a season. It implicitly differs from teams_get_athlete_stats/teams_get_athlete_splits via 'game-by-game', but it never names those siblings, so differentiation is left to inference.

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 when-to-use guidance and no mention of near-neighbors like teams_get_athlete_stats, teams_get_athlete_splits, or teams_get_athlete_overview. An agent cannot tell from the text which athlete stat tool to pick under which condition.

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, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so safety and side-effect behavior are covered. The description adds only content scope (what data comes back), and says nothing about the likely heavy cost of aggregating five data sources, auth requirements, or latency.

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

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

A single front-loaded sentence with no filler; every clause names a distinct data category. The long comma-delimited enumeration is dense but each item earns its place by telling the agent what the composite payload contains.

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 return payload is described reasonably well for a tool with no output schema. But with three required, undocumented parameters and no explicit routing away from the overlapping sibling endpoints, the definition is only partially complete for 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?

All three parameters (sport, league, athlete_id) have 0% schema description coverage, so the description must compensate and does not. It hints at the 'athlete' entity but gives no format, accepted values, or namespace guidance for sport/league/athlete_id, leaving the agent to guess at identifier syntax.

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

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

States a specific verb ('Fetch') and enumerates the exact contents returned (bio, season/career splits, game logs, rotowire fantasy notes, next match), which is more informative than a generic 'get athlete overview'. However, it never distinguishes itself from the closely-named siblings teams_get_athlete_bio, teams_get_athlete_stats, teams_get_athlete_gamelog, and teams_get_athlete_splits, even though the content list overlaps them heavily.

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 explicit when-to-use or when-not-to-use statement, and no sibling is named as an alternative despite the tool being an obvious aggregate of four sibling endpoints. The enumerated contents weakly imply 'use this for a combined view,' which is inference rather than guidance.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds content-level context by naming the kinds of splits returned, but says nothing about auth requirements, rate limits, or response shape. With annotations carrying the behavioral burden, this is adequate but thin.

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

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

A single front-loaded sentence with the verb and resource first, followed by the parenthetical scope. No padding, no redundancy.

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

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

The safety profile is covered by annotations and there is no output schema to explain, so those gaps are not the description's responsibility. However, for a 4-parameter tool with 0% schema coverage and a crowded sibling namespace, the description leaves an agent unable to confidently distinguish or correctly parameterize the call.

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

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

Schema description coverage is 0% across all four parameters (sport, league, season, athlete_id). The description mentions 'athlete' but never explains the meaning, format, or expected values of sport, league, season, or athlete_id, so it fails to compensate for the documentation gap the schema leaves.

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 gives a specific verb ('Fetch') and resource ('situational split statistics for an athlete') and enumerates the split categories (home/away, monthly, opponents, win/loss), so the purpose is unambiguous. It stops short of distinguishing this from close siblings like teams_get_athlete_stats or teams_get_athlete_gamelog, which an agent selecting between them would need.

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 tool versus the many sibling athlete tools (overview, bio, stats, gamelog). No prerequisites, no exclusions, no alternative named. Usage must be inferred entirely from the vague phrase 'situational split statistics'.

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 readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description adds genuine return-shape context by saying the output spans career and season totals/averages across standard and advanced categories, but says nothing about identifier requirements, league/sport coverage, or how missing data is represented.

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 dense sentence that front-loads the verb and resource with no filler. It is efficient, though it spends words enumerating metric categories rather than clarifying usage or parameters.

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 lookup with annotations covering the safety profile, the description is adequate at the purpose level. It falls short on the two things that matter most here: no usage routing against several overlapping stats siblings, and no clarification of the ambiguous optional season parameter.

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% across four parameters. The phrase 'career and season' hints that the optional season parameter selects between career and season views, but the description never states this explicitly, and it gives no guidance on the accepted values or formats for sport, league, or athlete_id.

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

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

States a specific verb (fetch) and resource (career/season statistical totals and averages for an athlete) and scopes the metric categories covered. However, it does not differentiate itself from close siblings like teams_get_player_stats or teams_get_athlete_overview, which appear to overlap in the statistics domain.

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

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

The description gives no when-to-use guidance and never names an alternative. An agent facing teams_get_player_stats, teams_get_athlete_splits, teams_get_athlete_gamelog, and teams_get_athlete_overview has no basis for choosing this one over the others.

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, idempotentHint=true, openWorldHint=true and destructiveHint=false, so safety and repeatability are covered. The description adds only the per-sport metric scope; it says nothing about response size, pagination, or handling of missing players, which would be useful for a boxscore extraction 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?

Purpose is front-loaded in a single sentence with the sport-specific examples deliberately bracketed at the end. The parenthetical list is long but carries real information about return content rather than filler.

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

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

For a read-only, three-parameter tool with no output schema, the description tells the agent what data comes back, which is the main gap it needs to fill. It still omits how the sport/league identifiers must be formatted and gives no sense of return shape, so it is adequate but not 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 0% and none of the three required parameters (sport, league, event_id) is documented in the schema, so the description must compensate. It only loosely implies accepted sport values via examples (MLB, NBA/WNBA, NFL/NCAAF, Soccer/NHL) and says nothing about league or event_id formats, leaving the caller to guess.

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?

It states a specific verb and resource ('Extract detailed individual player boxscores and performance metrics') and scopes it to a single game, which separates it from aggregate siblings like teams_get_team_statistics. It never names a sibling, so an agent must infer the distinction from teams_get_athlete_stats or teams_get_athlete_gamelog on its own.

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

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

There is no statement of when to choose this over games_get_game_summary, teams_get_athlete_stats, or teams_get_athlete_gamelog, all of which overlap. The per-sport metric examples hint at the content returned, but that is data description rather than usage guidance, and no prerequisites 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.

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, destructiveHint=false, so the safety profile is covered. The description adds the content shape of the response, which is useful, but says nothing about failure modes for an unknown team_id, league scoping behavior, or data freshness.

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 that opens with the verb and enumerates the payload with no filler. Efficient, though the enumeration is arguably loose enough that a shorter phrase would carry the same signal.

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

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

With no output schema, the description correctly compensates by naming the fields returned. However, for a 3-required-parameter tool with zero schema coverage it leaves parameter usage entirely unexplained, so an agent knows what comes back but not how to construct the call.

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

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

All three parameters (sport, league, team_id) are required and schema description coverage is 0%, so the description carries the full burden. It mentions none of them — no ID format, no valid league/sport values, no indication that league and sport must be consistent with the team. This is a real gap for a 3-param lookup.

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

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

Specific verb (fetch) plus resource (single team) and an enumeration of the returned content (standing summary, record, venue, next event). The word 'single' implicitly distinguishes it from teams_list_teams, but the description never names that sibling, so differentiation relies on inference.

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: 'single team' suggests this is the lookup-by-id counterpart to teams_list_teams, and the team-scoped sibling names (roster, depth chart, statistics) imply this is the base team object. No explicit when-to-use, when-not-to-use, or named alternative is given.

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 readOnly=true, idempotent=true, destructive=false, and openWorld=true, so the safety and caching profile is fully covered. The description adds no further behavior (no mention of freshness, rate limits, or what happens for teams without a chart). With the annotation bar fully met by structured data, this is baseline acceptable.

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, front-loaded with the verb and resource, followed by a parenthetical that adds concrete domain meaning. No wasted words.

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

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

The purpose is fully captured and annotations cover the safety profile, but with 0% schema coverage for all three required parameters and no output schema, the definition leaves the agent guessing about input formats. Adequate for selecting the tool, incomplete for invoking it 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 0% – sport, league, and team_id have no descriptions anywhere and the description offers no guidance on their expected formats (e.g., is league 'NBA' or 'nba'? is sport 'basketball'?). For a 3-param required tool with zero schema documentation, the description should compensate but does not.

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

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

Specific verb 'Fetch' plus precise resource 'team depth chart', with a concrete domain example (QB1/QB2, RB1/RB2) that distinguishes it from siblings like teams_get_team_roster and teams_get_team_statistics. An agent immediately understands this returns positional starter/backup hierarchies.

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 stated purpose ('evaluate starting status and backup substitution impacts') implies when to reach for this tool, but no explicit when-not or alternative routing is given. Sibling tools like teams_get_team_roster are not mentioned, so the agent must infer the distinction from the purpose alone.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and idempotency profile is covered. The description adds the useful content detail that results are grouped by position and include injury designations, but says nothing about auth requirements, rate limits, or how 'active' is determined.

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

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

A single front-loaded sentence with no wasted filler; the content enumeration is slightly list-heavy but each item is informative. Structure is efficient and the core action leads the sentence.

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

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

With no output schema, the description reasonably enumerates returned fields, and annotations cover the safety profile. However, three required parameters at 0% schema coverage are left entirely unexplained, which is a meaningful gap for an agent that must supply sport, league, and team_id 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 0% for all three parameters (sport, league, team_id), and the description provides no compensating meaning - it never explains accepted sport/league values, the format of team_id, or whether IDs come from teams_list_teams. The description does nothing to close a real parameter 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?

States a specific verb ('Fetch') and resource ('active team roster and injury designations') and enumerates the returned fields, so the agent knows exactly what data comes back. It does not, however, distinguish itself from the close sibling teams_get_team_depth_chart, which is also a positional roster view.

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 tool versus alternatives such as teams_get_team_depth_chart, teams_get_team, or teams_get_team_statistics, and no prerequisites or context are given. The agent must infer the selection condition from the description alone.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety and idempotency profile is covered. The description adds that results include opponent stats and span three unit categories, which is useful context, but says nothing about season scope, return shape, or whether data is paginated.

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

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

A single front-loaded sentence with no filler; the verb and resource come first and the category breakdown follows. Efficient, though the one sentence is doing very little work overall.

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 describing return values, the description does at least convey the data scope (team + opponent, three unit categories). However, for a tool requiring three undocumented identifiers and no season parameter, it leaves open what 'season' means and what inputs are valid.

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

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

Schema description coverage is 0% for all three required parameters, so the description must carry the load — and it does not. It never explains the expected format of sport, league, or team_id, nor whether league values are constrained, leaving the agent to guess valid inputs.

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

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

States a specific verb ('Fetch') and resource ('team and opponent season statistics') and scopes the data to offensive, defensive, and special teams categories. This distinguishes it reasonably well from siblings like teams_get_team or teams_get_player_stats, though it never names an alternative explicitly.

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

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

The description gives no when-to-use guidance, no exclusions, and does not reference any sibling tool. An agent must infer from the word 'statistics' that this is the season-aggregate tool rather than a roster, schedule, or game-summary tool.

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 readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds two useful traits beyond that: the result set is filtered to 'active' teams only, and it enumerates the returned fields (IDs, names, abbreviations, locations, colors) in the absence of 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?

A single sentence with zero filler; the core action and scope are front-loaded and the return fields are appended compactly rather than padded into extra sentences.

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

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

With no output schema, the description does useful work by listing return fields, and it notes the active-teams filter. However, with 0% schema coverage and no enums on two required parameters, the definition omits the one thing the agent most needs: valid values for sport and league.

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 carry parameter meaning. It names 'sport' and 'league' implicitly but gives no accepted value formats, casing, or examples (e.g. 'nba' vs 'basketball'), leaving the agent unable to supply valid values with confidence.

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

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

States a specific verb ('Fetch') and resource ('all active teams') with an explicit scope ('in a given sport and league'), which clearly separates it from singular siblings like teams_get_team and teams_search. It stops short of naming an alternative tool outright, so sibling differentiation is implied rather than explicit.

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

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

The phrase 'all active teams in a given sport and league' implies the usage context (bulk listing for a sport/league pair), but there is no explicit when-to-use statement, no exclusions, and no routing to teams_search or teams_get_team for other needs.

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 readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds that results carry IDs/metadata for downstream calls, which is useful context, but it omits result-count limits, the effect of the default type filter, or match 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?

Two tight sentences, front-loaded with the verb and resource, with the second sentence adding genuinely useful downstream-call context. No filler, though not maximally information-dense for a 3-param tool.

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?

Adequate for a simple search tool: required query is implied, and annotations carry the safety profile. But with no output schema and 0% param coverage, the hidden type default and result-shaping behavior go unexplained, which matters for an entity-index search feeding other 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 0%, so the description must compensate and largely doesn't. It gestures at 'athletes, teams, or leagues' (loosely the type filter) but never names the type or limit parameters or their defaults (type='player', limit=5), leaving a hidden default that will silently mislead callers.

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 operation on a specific resource: 'Search ESPN's entity index by name for athletes, teams, or leagues.' This distinguishes it as the only lookup/discovery tool among get_* siblings without needing the schema. It stops short of explicitly contrasting with teams_list_teams, but the purpose is unambiguous.

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 implies the workflow ('Returns IDs, display names, and metadata needed to call other tools'), which signals this is a prerequisite lookup step. However, it never states when to prefer this over teams_list_teams or how to resolve ambiguity, so usage is only implied rather than guided.

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