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

No annotations provided, so description carries full burden. It adequately discloses the comment tree inclusion (important behavioral trait not obvious from 'get post'), but omits auth requirements, rate limits, comment depth limits, and error handling for invalid permalinks.

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?

Well-structured with purpose front-loaded in the first sentence, followed by clear Args documentation. No redundant text; the example permalink efficiently illustrates the expected format without verbosity.

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?

Appropriate for a single-parameter read operation with output schema present. Covers core functionality and return data shape (comment tree), but given lack of annotations, should mention authentication requirements or API rate considerations to be 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?

With 0% schema description coverage, the Args block compensates effectively by documenting the permalink parameter with both semantic description ('Reddit permalink path') and format example ('/r/Python/comments/abc123/my_post/'), clarifying expected input structure.

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?

Clear specific verb ('Get') + resource ('Reddit post') + scope ('full details including its comment tree'). Distinguishes implicitly from siblings via the permalink-based retrieval (vs. search/list operations), though explicit differentiation is absent.

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 explicit when-to-use guidance, prerequisites, or alternatives mentioned. User must infer this is for direct permalink retrieval versus searching or listing from sibling tool names 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?

With no annotations, the description carries the full load; it does disclose concrete behavioral facts (limit max 100, defaults of hot/all, the four listing categories). It omits auth requirements, rate limits, pagination behavior, and whether the call is read-only, which matters for a 0%-annotated 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?

Front-loaded one-line summary followed by tightly scoped Args/Returns blocks; each line earns its place. The opening sentence slightly restates the tool name but sets up the structured detail 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?

An output schema exists, so return values need not be explained, and all four inputs are documented. However, for an unannotated network-backed read tool, missing auth/rate-limit/pagination context leaves it only adequately 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% (no descriptions, no enums), so the description must compensate, and it does: every one of the four parameters gets an explanation, the valid category and time_filter values are enumerated, the limit ceiling is given, and the format for subreddit ('without r/ prefix') is clarified.

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

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

States a specific verb and resource ('Get posts from a subreddit listing'), which is clearly distinct from search-oriented and user-oriented siblings. It does not explicitly name the alternatives, but the scope of a listing fetch 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?

Usage is only implied by the parameter docs ('listing category', 'time window for top listings'). Nothing says when to prefer this over reddit_search or reddit_search_subreddit, and there are no stated prerequisites for the subreddit 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?

No annotations, so the description carries the full burden. It does add useful traits such as 'recent' and 'public' (implying no private/draft data), but omits auth requirements, rate limits, ordering, and how far back 'recent' reaches.

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

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

Front-loaded one-line purpose followed by compact Args and Returns sections. The Returns block largely restates what the output schema already provides, a small amount of redundancy, but nothing is padded 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 two-parameter read tool with an output schema, the description covers the essentials: argument formats, limits, and return shape. It could say more about ordering/pagination and the posts-vs-comments distinction, but nothing critical for invocation is missing.

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

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

Schema coverage is 0%, yet the description compensates well: it specifies that username must omit the u/ prefix with concrete examples, and gives limit's default of 25 and max of 100, neither of which is captured in the 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 (Get) and resource (a Reddit user's recent public activity) and clarifies the payload is posts and comments. It distinguishes itself somewhat from reddit_get_user_posts by including comments, but never names or contrasts the 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 explicit when-to-use statement or exclusions. The contrast with reddit_get_user_posts is only implied by the phrase 'posts and comments' in the parenthetical, leaving the agent to infer which sibling 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?

No annotations exist, so the description has to carry the full safety profile, and it mostly does not. It does disclose useful limits: the max value of 100 for limit, the allowed category and time_filter values, and the shape of the response. It says nothing about rate limits, page/auth requirements, or what happens for a deleted, suspended, or private user. That is a real gap for a tool with zero annotation coverage.

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

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

The purpose sentence comes first, then compact Args and Returns blocks in the standard docstring layout. It is appropriately sized with no filler. The Returns line is mostly redundant because an output schema exists, which keeps it from a 5.

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

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

The output schema is present, so return values are already covered, and the description is complete enough to call the tool. It leaves out error behavior for missing users and any note about rate limits or authentication, which matters for a README-level public API surface. It is usable but not fully self-contained.

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

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

The schema has 0% description coverage and no enums, so the description has to document the 4 parameters, and it does. It gives the username format (no u/ prefix) and lists the allowed category and time_filter values that the schema leaves as bare strings. One flaw holds it below 5: the defaults it states, category=new and time_filter=all, differ from the schema's null defaults, so an agent omitting those arguments gets a different behavior from what the prose implies.

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 opening sentence gives a specific verb and resource: fetch a Reddit user's submitted posts. That is enough to separate it from reddit_get_user (profile) and reddit_get_subreddit_posts (community feed). It never names a sibling explicitly, but the noun phrase alone makes the difference clear.

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

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

The Args block tells the agent how to shape a request (username format, limit cap, category and time_filter choices), so its use is implied. Nothing says when to pick this tool instead of reddit_get_user or reddit_search, and nothing covers the cases where a call should be skipped. A 2 would be too harsh, but this is only adequate.

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

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

With no annotations, the description carries the full burden: it does disclose useful behavioral constraints such as the default limit of 25 and maximum of 100, which is real added context. It says nothing about authentication, rate limits, or pagination behavior, which matters for a live external search API.

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

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

Front-loaded one-line purpose followed by compact Args/Returns sections with zero filler. Every line carries information the caller needs, and the structure maps cleanly onto the three 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?

An output schema exists, so the brief 'results' array note is sufficient and the description needn't detail return fields. For a three-parameter read tool with no annotations, what remains missing is minor: pagination/cursor guidance and any auth or rate-limit preconditions.

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: query gets an example, limit gets default and max, and sort enumerates the accepted values ('relevance, hot, top, new, comments') that the schema only types as an unconstrained string. The sort values are the strongest addition since the schema provides no enum.

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 ('Search all of Reddit for posts') with the scope word 'all' that implicitly distinguishes it from the sibling reddit_search_subreddit. It never names the sibling explicitly, so the differentiation is inferred rather than stated.

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 of Reddit' implies the tool is for site-wide searches rather than subreddit-scoped ones, which is useful against the sibling list. However, there is no explicit when-to-use/when-not statement and no guidance on choosing sort modes or limit tradeoffs.

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

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose result-shape ('results' array), the default limit of 25 and the max of 100, and the valid sort modes — useful operational context — but says nothing about pagination, rate limits, or whether private/quarantined subreddits are reachable.

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

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

The lead sentence front-loads the purpose, and the Args/Returns block is scannable with no filler. The docstring scaffolding is slightly more verbose than a prose paragraph would be, but every line carries information.

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

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

For a simple four-parameter read operation with an output schema present, the description covers parameters and call mechanics adequately. What it lacks is routing context — how results differ from reddit_search or a subreddit post listing — which an agent needs before choosing 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 coverage is 0%, so the description must do all the work, and it does: subreddit format ('without r/ prefix', with examples), query meaning, limit default and ceiling, and the enumerated sort values (relevance, hot, top, new, comments) — none of which appear as an enum in the 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 and scoped resource: 'Search within a specific subreddit', which is clearly narrower than a global search and clearly different from a post-listing tool. It doesn't name any sibling (reddit_search, reddit_get_subreddit_posts) to sharpen the distinction, so it stops short of 5.

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

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

Usage is only implied by the phrase 'within a specific subreddit' — an agent can infer this is the scoped variant of reddit_search, but nothing states when to prefer it over reddit_search (global) or reddit_get_subreddit_posts (browse without keywords). No exclusions or prerequisites are given.

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