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 discloses one meaningful trait — deterministic output with no LLM verdict — but omits whether the tool is read-only, what permissions or auth are required, whether it mutates the repository, and what 'structured evidence' actually contains.

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 short sentence with no wasted words, so it is concise. However, it is too terse for a tool with three required parameters and a complex output schema, and it is not structured to front-load the tool's purpose or usage context.

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 presence of an output schema reduces the need to explain return values, but the description still fails to provide purpose specifics, usage guidance, or parameter semantics in the absence of annotations and schema descriptions. It is not complete enough for an agent to confidently select and invoke this tool over siblings.

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 three required parameters (owner, repo, number), and the description adds no parameter details at all. An agent gets no help understanding expected formats or value meanings beyond the bare parameter 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 states a verb ('Build') and a vague resource ('deterministic structured evidence'), but never says what the evidence is for or that it relates to a pull request review report. The name and schema imply a PR context, but the description alone leaves the exact output ambiguous and does not distinguish the tool from siblings like get_pull_request or find_related_tests.

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 alternative sibling tools. The single sentence describes an implementation trait rather than routing the agent to this tool instead of another.

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

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

With no annotations, the description carries the full behavioral burden and discloses almost nothing: it does not state that this is a read-only lookup, whether it requires repository permissions, how many test paths come back, or how the mapping is derived. Only the output schema (if consulted) would fill the return-value 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 short sentence with no filler, and the action is front-loaded. Its brevity is efficient, though it borders on under-specification rather than tight writing.

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. But for a three-parameter tool with no annotations and 0% parameter documentation, the description leaves the agent guessing about input meaning, the PR-based context, and read-only behavior — significant gaps it should have closed.

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 three required parameters (owner, repo, number), so the schema gives no hint what they mean. The description only loosely implies that "changed files" are derived from the referenced PR; it does not document owner/repo as repository identity or number as the pull request identifier.

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 has a clear verb ("Find") and resource ("test paths related to changed files"), so the general intent is legible. However, it never says where the "changed files" come from — an agent must infer from the owner/repo/number parameters that this operates on a pull request, and it does not distinguish itself from siblings like get_pull_request_files or get_pull_request_diff.

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 get_pull_request_files or get_pull_request_diff, and no mention of prerequisites (e.g., needing a PR number that exists). Usage is left entirely to inference.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it says nothing about authentication requirements, rate limits, or what 'typed' metadata entails. The presence of an output schema relieves it of describing the return shape, but the mutation/auth/permission context is entirely absent.

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?

It is a single short front-loaded sentence with zero waste, but it is terse to the point of under-specification rather than genuine conciseness. The brevity is achieved by omitting information the agent needs rather than by efficient phrasing.

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 covers return values, so that gap is acceptable, but with no annotations, 0% parameter coverage, and a crowded set of same-PR siblings, the definition leaves too much unspecified for an agent to route or invoke confidently. It covers only the bare minimum of what the tool is.

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 required parameters (owner, repo, number), and the description adds no semantics for any of them. It does not clarify that 'number' is the PR number or the expected owner/repo formats, leaving the agent to infer everything from parameter 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 (Get) and resource (pull-request metadata), which is enough to distinguish it from list_pull_requests and search_repository_code. However, 'typed' is unexplained jargon and nothing distinguishes it from siblings like get_pull_request_diff or get_pull_request_files, which also fetch data for a single PR.

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 five siblings, several of which operate on the same PR (diff, files, review report). No prerequisites, no mention of when the metadata view is preferable over the file or diff views.

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 disclosure burden, and it does add meaningful behavioral context: the diff is "bounded" and "redacted", telling the agent output may be truncated and sanitized. However, it omits any mention of permissions, size limits, or pagination behavior that a mutating-adjacent read tool would warrant.

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?

It is a single short sentence with zero waste, which is structurally clean, but the brevity borders on under-specification rather than efficient conciseness.

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, but the definition still leaves three undocumented parameters, no usage routing, and no annotations to lean on. For a 3-parameter tool with no structured behavioral coverage, this is inadequate.

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 three required parameters (owner, repo, number), and the description does not describe any of them. An agent gets no meaning for what these parameters expect beyond their bare names 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?

The description states a verb+resource ("Get a ... unified diff") but only the tool name ties it to pull requests; the description itself never mentions a PR, owner, repo, or number. It distinguishes itself somewhat with the qualifiers "bounded, redacted", but an agent reading only the description cannot fully identify the target resource.

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 mention of sibling tools like get_pull_request_files or get_pull_request, which also surface PR content. The agent must infer usage from the tool 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?

With no annotations, the description carries the full behavioral burden. It does disclose the return nature ('changed files and patches'), which is useful, but says nothing about pagination, size limits, permissions, or truncation behavior for large PRs — significant omissions for a list-style read 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?

A single efficient sentence with the core resource front-loaded and no wasted words. It is appropriately sized, though brevity here partly reflects missing detail rather than tight editing.

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

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

An output schema exists, so return values need no explanation and safety is implied by the 'Get' verb. However, with zero annotations and zero parameter documentation, the description leaves too much unsaid about scope, limits, and how it differs from sibling retrieval 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 does not. owner, repo, and number are self-evident names, but the description adds no meaning about expected formats, whether number is a PR index, or any constraints.

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 ('changed files and patches for a pull request'), so an agent knows exactly what comes back. It doesn't differentiate itself from the very similar sibling get_pull_request_diff, which is the main gap preventing 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?

No guidance on when to use this over get_pull_request_diff, get_pull_request, or build_review_report, all of which overlap in scope. The agent is left to infer the distinction between 'files/patches' and 'diff' entirely on its own.

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 supplied, the description carries the full behavioral burden, and 'without changing the repository' does disclose the key non-mutating trait. However, it omits other important behaviors for a list tool, such as result ordering, pagination/limit behavior, and whether auth or rate limits apply.

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 the action front-loaded and no filler. It is efficient, though its brevity is partly a symptom of under-specification rather than disciplined editing.

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 described, but with no annotations, no parameter documentation, and no usage routing, the definition leaves an agent guessing about pagination, permissions, and when to choose this over its several pull-request siblings.

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. The description says nothing about owner, repo, or limit (e.g., default of 20, maximum value, or filtering semantics), so it does not compensate for the gap at all.

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 ('List open pull requests') with a scoping qualifier ('open'), which lets an agent distinguish it from the singular get_pull_request sibling. It stops short of explicitly naming what it is not, so it stays at 4 rather than 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 when-to-use guidance, no indication of when to prefer get_pull_request or search_repository_code instead, and no prerequisites or context about pagination scope. The only hint is the implicit read-only framing.

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 and fails to do so. It says nothing about authentication/permission requirements, result ordering, pagination, rate limits, or what "bounded" actually constrains, leaving the agent to guess how the underlying search behaves.

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 is appropriately sized and front-loaded with the core action. But the trailing "using a bounded query" clause adds ambiguity rather than information, so it does not fully earn 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?

An output schema exists, so return values need not be described, but the tool still has 4 undocumented parameters, no annotations, no usage guidance, and no behavioral context. After removing the output-schema burden, the description remains too thin for a search tool with this many inputs.

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 4 parameters, so the description must compensate and largely does not. It never explains owner/repo/query semantics, and "bounded query" only loosely gestures at the limit parameter without defining its effect.

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 clear verb and resource ("Search code in a repository"), which is enough to distinguish it from the PR-oriented siblings. However, the modifier "using a bounded query" is vague and unexplained — it is unclear whether "bounded" refers to result count (the limit param), query scope, or syntax constraints.

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, no prerequisites, and no exclusions. Nothing indicates what kind of query syntax is accepted or when a code search is appropriate versus the sibling PR-listing tools.

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