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

With no annotations, the description carries the full burden of behavioral disclosure. It usefully discloses that the call is asynchronous in effect ('Returns immediately') and that stopping is observed elsewhere. However, it does not mention failure modes, session requirements, or side effects beyond resuming execution.

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 sentences with no filler. The core action and mode list are front-loaded, and the important return-timing behavior is stated immediately after.

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 definition is not complete enough for an agent to call it correctly in all cases. It omits parameter semantics, especially 'until_addr', does not clarify session selection when 'session_id' is null, and gives no output or error expectations. The presence of wait_for_stop helps, but the gaps are material for a debugger control 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%, so the description must explain the parameters. It implicitly explains 'mode' by listing possible values, but it does not explain the semantics of 'session_id' or 'until_addr', including when 'until_addr' applies or what format it expects.

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 ('Resume') and resource ('the inferior'), then enumerates the accepted command modes: continue, step, next, stepi, nexti, finish, until. This clearly distinguishes it from siblings like interrupt, wait_for_stop, and get_stop_reason.

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 explicitly says the tool returns immediately and directs the agent to wait_for_stop for the next stop event or to rely on async stop notification. This gives clear when-to-use context relative to wait_for_stop, though it does not mention exclusions or alternatives like execute_command.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It goes beyond the schema by disclosing the best-effort nature: unreadable pieces are surfaced in `warnings` rather than failing the whole call. It also enumerates the expected output content, which helps set agent expectations.

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 well-organized sentences with no wasted words. The core purpose is front-loaded, followed by invocation timing and behavioral caveat. Every sentence 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?

The description is strong for a read-only aggregate tool: it lists the expected return contents, states when to use it, and explains the failure mode. Minor gaps remain around parameter semantics and explicit non-destructiveness, but given the simple optional parameters, this is close to 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 the description never mentions `max_frames` or `session_id`. The parameters have self-explanatory titles and defaults, but the description adds no semantic value about how they affect the crash report, which falls short when the schema is otherwise bare.

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 opens with 'One-call crash triage' and enumerates eight concrete pieces of collected data, making the aggregation role obvious. It clearly contrasts with sibling single-purpose read tools like read_registers, get_backtrace, disassemble, and read_memory.

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 an explicit trigger condition: 'Use after wait_for_stop (or after a stop notification).' It does not mention exclusions or when to prefer individual sibling tools instead, so it earns a 4 rather than a 5.

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 a meaningful default: omitting `start` uses the current PC. However, it does not state whether the operation is read-only, what output it returns, or how session_id affects execution.

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 tightly worded sentence with code-span parameters; no filler. The essential default for `start` is included up front and every phrase contributes to call semantics.

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 debugger action, the description is mostly adequate: start types, count, and default PC are covered. But with no output schema and no annotations, it should also clarify session_id handling and expected output; those gaps keep it from being fully 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%, so the description must compensate. It does add meaning for `start` (accepted value types and default) and `count` (number of instructions), but it never mentions `session_id`, leaving one of the three parameters 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 names a specific verb ('Disassemble') with a clear resource: `count` instructions at `start`. It also defines accepted forms for `start` (address, gdb expression, function name, current PC), which makes the tool's purpose immediately distinguishable from memory/register/backtrace inspection 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?

No guidance is given about when to choose disassemble instead of read_memory, evaluate, get_backtrace, or other inspection tools, nor any mention of preconditions such as an active GDB session. The only implicit usage pointer is the word 'Disassemble'.

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. It mentions 'live inferior' and 'PIE-aware' but does not disclose whether evaluation can have side effects, whether the inferior must be stopped, what happens on errors, or what the result format is. For a tool that could potentially execute function calls in gdb, this is a significant transparency 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?

The description is one focused sentence that front-loads the core action and resource, then provides illustrative examples. No wasted words; every part 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?

With no output schema, no annotations, and only sparse parameter documentation, the description does not fully equip an agent to call the tool correctly. Missing details include return value structure, error behavior, session_id semantics, and whether a stopped inferior is required or evaluation may mutate state.

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 does add meaningful semantics for the 'expression' parameter through concrete examples, but it gives no guidance for the optional 'session_id' parameter. The expression examples are valuable, but the parameter guidance remains partial.

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

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

The description clearly states a specific verb ('Evaluate') and resource ('a gdb expression against the live inferior'), and adds the distinctive 'PIE-aware' qualifier. The concrete examples (main, &puts@got, $rax+8, *(char**)0x404000) make the tool's purpose immediately recognizable and distinguish it from sibling tools like read_memory or read_registers.

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

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

The description implies usage context: it evaluates arbitrary gdb expressions on the live inferior, which suggests it is the general-purpose option compared to more targeted sibling tools. However, it does not explicitly state when not to use it or name alternatives, so the guidance is clear but not fully explicit.

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

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

No annotations are present, so the description carries the disclosure burden. It goes beyond a generic statement by explaining that commands are queued until the next stop when the inferior is running and that output is returned. It does not explicitly warn that raw gdb commands can mutate target state, but the word 'raw' signals arbitrary side effects.

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

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

Three short sentences, each earning its place: what it does, when to use it, and the key runtime behavior. Examples are compact and immediately useful, with no filler or repetition of schema fields.

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

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

The core invocation is clear and the queuing behavior is valuable, but the missing explanations for `keep_ansi` and `session_id` leave gaps, especially in a multi-session context suggested by the sibling tools. It is adequate for a basic call with only the required `command` parameter, but not fully 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%, so the description must compensate. It gives meaningful meaning to the `command` parameter by describing it as a raw gdb/pwndbg command, but it completely ignores `keep_ansi` and `session_id`, leaving two of the three parameters unexplained beyond their bare names and defaults.

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: 'Execute a raw gdb command and return its output.' It also gives concrete pwndbg-specific examples, making it clear this is a pass-through gdb CLI tool rather than one of the higher-level sibling tools like read_memory or evaluate.

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 explicitly says to use it for pwndbg-specific commands 'or any other gdb CLI command,' which is strong positive guidance. It also provides the useful timing context that it works while the inferior is running and is queued until the next stop, but it does not explicitly contrast with alternatives or state when a sibling should be preferred.

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

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

With no annotations provided, the description carries the full behavioral disclosure burden. It does reveal useful return-value shape by listing pc, function name, and source location per frame, but it does not disclose whether the target must be paused, whether the operation is read-only, or how session_id affects behavior. It does not contradict any annotations because none exist.

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 compact, front-loaded sentence with no filler. Every word adds information about the tool's output, making it appropriately concise for a simple introspection 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?

The tool has no annotations and no output schema, and both parameters are effectively undocumented in the description. The one-line overview conveys the basic return format but omits parameter semantics, session context, and any state prerequisites, leaving the definition incomplete for reliable 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%, and the description says nothing about max_frames or session_id. An agent cannot learn from the description how these parameters influence the call, despite the parameter names and defaults giving partial hints.

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

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

The description clearly identifies the tool as retrieving a stack backtrace and specifies the output contents: pc, function name, source file/line per frame. It is more specific than a tautology, but it is a noun phrase rather than a verb-led command and does not explicitly distinguish it from sibling inspection tools like disassemble or read_registers.

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 is given on when to use get_backtrace versus other debugging tools, nor are prerequisites mentioned such as the target being stopped, a session being active, or the selected frame/thread. The only signal is the tool name itself, which implies usage but does not explain it.

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

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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses that the tool uses `info proc mappings` and works without pwndbg, and that vmmap provides richer output. However, it does not state whether the operation is read-only, what shape the returned mappings take, or how session_id affects the call.

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

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

Two short sentences with no filler. The core behavior is front-loaded, and the useful alternative pointer is placed second. Every part earns its place.

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

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

For a simple read-style tool this is close to complete, but with no annotations and no output schema, the description should clarify the optional session_id and at least indicate the return format. Those omissions leave a moderate gap for an agent deciding how to invoke 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?

The input schema has one optional `session_id` parameter with no description, and the tool description never mentions it. Since schema description coverage is 0%, the description does not compensate for the missing parameter semantics; only the parameter name and default hint at its purpose.

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

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

The description clearly identifies the resource ('memory mappings of the inferior') and the underlying GDB command (`info proc mappings`), while distinguishing it from the richer `execute_command('vmmap')` alternative. It lacks an explicit verb, but the tool name makes the intended action 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?

The description explicitly names an alternative tool/command and gives the condition for choosing it: 'For richer output use execute_command("vmmap").' This provides clear routing guidance and makes the boundary between this tool and the richer alternative explicit.

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

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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully states the operation is a tail of session logs, which implies it is read-only, but it does not explain whether the output is incremental, whether it blocks, or what happens if the session no longer exists.

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 with no filler. The main verb and target resource are front-loaded, and the prerequisite is a necessary addition rather than repetition.

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 description gives the essential purpose and a key precondition, but it is light for a tool with no annotations, no output schema, and 0% schema description coverage. An agent is left unsure about return format and parameter usage, though the tool is simple enough that this is not severely crippling.

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 input schema has 0% description coverage, so the description needed to explain session_id and tail_lines. It identifies that a 'launched session' is involved, so session_id is implied, but tail_lines is not mentioned at all, leaving the agent without guidance on what the parameter controls beyond its name and default.

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 uses a specific verb ('Tail') and resource ('stdout/stderr log of a launched session'), making the tool's core function clear. It does not explicitly contrast itself with siblings like session_status or crash_report, though the gdb/script scoping helps narrow it.

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

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

It gives a clear prerequisite: the session must have been started by launch_gdb or launch_script. This tells the agent when the tool is applicable, but it does not describe when to prefer an alternative tool or when not to use it.

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

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

With no annotations, the description carries the burden of explaining behavior. It clearly communicates that the tool is a read-style query returning diagnostic stop information, which is useful. It does not disclose edge cases such as what happens if no stop has occurred, whether session_id must refer to a valid session, or the exact response structure, so transparency is only partially complete.

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

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

The description is a single compact sentence with no filler. The key information—what is returned and what categories of stop reason are included—is front-loaded and 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?

For a simple one-parameter getter, the description covers the core purpose and the return content at a summary level. It is incomplete because there is no output schema, no annotation guidance, and no explanation of session_id semantics or the conditions under which the stop reason is available.

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, so the description needed to explain session_id but does not mention it at all. The parameter name and title provide some clue that it identifies a session, and it is optional, but the description adds no meaning about how it is used or what null means.

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 the specific resource ('the inferior') and the exact data returned (signal, fault address, breakpoint info), making the tool's function clear. It does not use an explicit action verb like 'retrieve' or 'get', and it does not directly distinguish itself from siblings like crash_report or session_status, though the focus on stop reason is fairly unique.

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

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

The description implies the tool should be used when the agent needs to know why the inferior last stopped, which is a reasonable contextual cue. However, it does not explicitly say when to use it versus alternatives such as wait_for_stop, get_backtrace, or crash_report, nor does it mention prerequisites like an active stopped session.

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 present, the description carries the full behavioral transparency burden. It discloses both the immediate effect ('The inferior stops') and the resulting observable event ('a stop notification is emitted'). It does not discuss edge cases like interrupting an already-stopped inferior, but the core behavior is clearly and accurately communicated.

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 two short sentences with no filler. The core action and expected result are front-loaded, and every word contributes meaning. It is exemplary conciseness for a simple 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?

For a simple one-optional-parameter tool without an output schema, the description provides enough core context: what the tool does, when it applies, and what observable effect it produces. The main gap is the unaddressed session_id semantics, but the rest of the tool contract is reasonably 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?

There is one parameter, session_id, and the input schema provides only type and default information with no description coverage. The tool description never mentions session_id, how it is used, or what omitting it means (e.g., whether the current session is used by default). Because schema coverage is 0%, the description needed to compensate and did 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?

The description states a specific action ('interrupt'), a specific target ('the running inferior'), and a memorable semantic reference ('equivalent to Ctrl-C in gdb'). This clearly distinguishes interrupt from siblings like kill_session, quit_gdb, and continue_execution, since interrupting stops rather than terminates or resumes.

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 'running inferior' explicitly indicates the prerequisite condition for use: the inferior must be running. The Ctrl-C analogy gives clear context about what using this tool is like. However, it does not name alternatives or explicitly say when not to use it, such as 'use kill_session to stop permanently' or 'use wait_for_stop after interrupting.'

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

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

With no annotations, the description carries the full behavioral burden. It discloses that gdb sessions are detached by default and only terminated with force=True, and that script sessions are gracefully ended or killed with force=True. This goes well beyond the name, though it omits other side effects like idempotency or resource cleanup.

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 concise sentences front-load the core action ('End a session') and then immediately provide the key behavioral distinctions. Every sentence earns its place with no filler or repetition of schema data.

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 description covers the main behavioral variations and force semantics, but it omits the meaning of session_id and any mention of return values or error cases. For a tool with two simple parameters and no output schema, it is reasonably complete but has clear gaps around parameter usage and expected results.

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, so the description must compensate. It explains the force parameter's effect for gdb and script sessions, but it does not clarify the session_id parameter—whether null means the current/latest session or something else. This leaves one of two parameters underdocumented.

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 and resource ('End a session') and adds valuable differentiation between gdb and script sessions, including the default versus force behaviors. It doesn't explicitly name sibling alternatives like quit_gdb, but the behavior described makes the tool's purpose distinct.

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 explains how force affects gdb and script sessions but does not say when to prefer kill_session over quit_gdb or other session-related tools. There is no explicit when-to-use or when-not-to-use guidance, leaving the agent to infer selection criteria.

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

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

With no annotations, the description carries the behavioral burden and does provide meaningful details: background execution, log capture to a file, support for Windows or WSL paths, session registration, and immediate inferior start with run=True. It does not mention log file location or lifecycle cleanup, but it discloses the key side effects and execution mode.

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 compact and front-loaded: the core launch behavior is in the first sentence, followed by two clarifying sentences. Every sentence adds useful information and there is no filler.

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

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

The description covers the core launch flow and important behavioral traits, but with 8 optional parameters and no output schema it leaves meaningful gaps: most parameter semantics, how the session is identified, and what the tool returns. It is adequate for understanding the tool's purpose but not fully sufficient for correct invocation in all cases.

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

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

Schema coverage is 0%, and there are no annotations, so the description needed to explain the parameters. It only covers `program` and `run`; the other six parameters (cwd, env, args, distro, gdb_args, attach_timeout_ms) are left entirely undocumented, requiring the agent to guess at their semantics.

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

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

The description clearly states what the tool does: launches gdb with the MCP plugin inside WSL2 as a background process. It identifies the unique resource and platform, which helps distinguish it from the other debugging tools, though it does not explicitly name an alternative sibling.

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

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

The description implies when to use it ('launch gdb', session registers) and clarifies behavior of run=True, but it never states when to choose this tool over siblings like launch_script or load_target. There is no explicit when/when-not guidance or exclusion of alternatives.

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

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

With no annotations, the description carries the full burden and it does so well: it discloses the file-path requirement, the gdb-registered-session return behavior, and the non-gdb return behavior (state, return code, log tail). It does not mention potential side effects like background processes or persistence, but the major behavioral branches are covered.

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

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

Three sentences, all information-dense and purposeful: purpose, path constraint, and the two return scenarios. No fluff, no repetition of the schema, and the key constraint is front-loaded.

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 description explains the main behavior and return cases, but with no output schema and 0% parameter coverage, significant context is missing. An agent still does not know how to set the working directory, environment, distro, or attach timeout. It is adequate for the core use case but incomplete for a 7-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%, so the description must compensate for explaining seven parameters. It only explains 'script' (absolute path, no inline code). Parameters like cwd, env, distro, python, args, and attach_timeout_ms are left completely undocumented, making it hard for an agent to use them correctly.

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

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

The description clearly states the verb ('Launch'), the resource ('a Python ... script inside WSL2'), and the key constraint that the script must be a file path. It distinguishes itself from siblings like launch_gdb by focusing on Python/pwntools scripts and describing both gdb-attached and non-gdb execution paths.

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 provides clear context on when this tool is appropriate: for Python scripts in WSL2, typically pwntools. It also gives a firm exclusion: inline code is not supported, and requires absolute Windows/WSL paths. It does not explicitly name alternatives or say 'use execute_command for arbitrary commands', but the context is sufficient.

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?

The word 'List' conveys a non-mutating read operation and the inclusion of 'watchpoints' adds useful behavioral scope. However, with no annotations provided, the description should clarify whether 'all' means the current session or across sessions, and it does not describe what the caller receives in return.

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 unnecessary words. The action and target are front-loaded and the text is easy to scan, though it could trade a little brevity for parameter clarity.

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 tool with one optional parameter and no output schema, the description should state the role of session_id and what the returned enumeration looks like. Both are missing, leaving an agent uncertain about the tool's actual scope and output.

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 description completely ignores the only parameter, session_id, which has 0% schema description coverage. It does not explain whether session_id filters the results, what a null value means, or whether 'all' is global or session-specific.

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 uses a specific verb ('List') and a specific resource ('all breakpoints/watchpoints'), making the tool's purpose immediately identifiable. It clearly distinguishes this read-only listing operation from mutation siblings like set_breakpoint and manage_breakpoint.

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 is given about when to use this tool, what prerequisites exist, or when to prefer an alternative. The intended use is only implied by the name and description, with no explicit context 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?

With no annotations provided, the description carries the transparency burden. The verb 'List' strongly implies a read-only operation, and the description explicitly names what is being listed and that state information is included. It does not discuss permissions or failure modes, but for a zero-argument list operation the core behavior is sufficiently clear.

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 one focused sentence with no filler. The core action is front-loaded, and the parenthetical adds necessary scope without bloating the text.

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

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

Given that there are no parameters and no output schema, the description provides the essential information: what the tool lists and that state is included. It could enumerate possible state values or output format, but for tool selection and invocation this is largely sufficient.

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

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

The tool takes zero parameters, so the schema and description have nothing to document. The baseline of 4 applies, and the description adds no unnecessary parameter details.

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 uses a specific verb ('List') and resource ('all known sessions'), and it clarifies what counts as a session via the parenthetical '(gdb plugin connections and launched processes)'. This clearly distinguishes it from sibling tools like session_status, which likely targets a single session.

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 'List all known sessions' implies this tool is for enumeration and that session_status might be the single-session counterpart, but there is no explicit when-to-use or when-not-to-use guidance. The distinction is mostly left 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. It clearly conveys a read-only listing behavior and mentions the selected thread, but it does not disclose output shape, error/edge-case behavior, or how session_id affects the listing. This is adequate but not richly transparent.

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 compact sentence with no filler or repetition. The action and the key output detail are both front-loaded, making it easy to parse quickly.

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 listing tool, the core purpose is clear. However, there is no output schema and no mention of session_id semantics or return format, so an agent must infer some behavior. It is functional but leaves minor 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?

The schema provides only a name and default for session_id, with 0% description coverage, and the tool description does not mention session_id at all. The parameter name hints at session scoping, but the description fails to compensate for the missing schema-level explanation.

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 action ('List') and resource ('inferior threads'), and adds the distinguishing detail of which thread is selected. This makes it clearly distinguishable from siblings like list_sessions and session_status without needing to inspect schemas.

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

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

The description implies when to use the tool—whenever thread listing or selected-thread information is needed—but it gives no explicit when-to-use guidance, exclusions, or alternatives. It is not misleading, but the context is only implied.

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 transparency burden; it does reveal the internal command mapping for the `core` flag and the intended session state. It does not disclose side effects (e.g., replacing an existing target or behavior if called on an already-initialized session) or failure modes.

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

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

Two short sentences with no filler; the primary action and mode distinction are front-loaded, and the precondition is stated in the second 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?

The text covers the core action, both modes, and the intended precondition, which is the bulk of what an agent needs. It leaves `session_id` implicit and does not specify what happens in unsupported session states, so completeness is only partial.

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 explain the parameters. It explains `path` and the `core` flag through the file/core-file distinction, but says nothing about `session_id` or how the target session is selected.

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 uses the verb 'Load' with explicit resources ('program' vs 'core dump') and maps each to gdb commands (`file <path>`, `core-file <path>`), making its function unmistakable. The scoping phrase 'For gdb sessions started without an inferior' separates it from session-management 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?

It states the applicable scenario ('gdb sessions started without an inferior'), which helps an agent decide when to call it. It does not name an alternative tool for sessions that already have an inferior, so the when-not-to-use guidance is only implicit.

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

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

With no annotations, the description carries the behavioral burden. It accurately discloses that this is a mutating operation (delete/enable/disable), but it does not cover likely failure modes (invalid number), whether actions require an active session, or what the tool returns. No contradiction exists since there are no annotations.

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 word contributes to understanding the operation and addressing scheme.

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 mutating tool with no annotations, no output schema, and an undocumented optional session_id, this is somewhat sparse. It covers the core operation but omits prerequisites (breakpoint must exist), session behavior, and result/error semantics.

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?

Since schema coverage is 0%, the description must compensate. It clarifies that number identifies a breakpoint and gives the three action values, but it leaves session_id entirely undocumented and does not specify exact string casing for action.

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 uses specific verbs (Delete / enable / disable) and a precise resource ('a breakpoint by number'). This clearly differentiates manage_breakpoint from list_breakpoints (listing) and set_breakpoint (creating).

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

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

The description implies that the tool is for operating on existing breakpoints identified by number, but it never explicitly states when to prefer it over a sibling like set_breakpoint or how to obtain the number (e.g., list_breakpoints). The usage context is clear but exclusions and alternatives are not spelled out.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It clearly states the default behavior, the effect of kill_gdb=True, and the fact that the debugged process is terminated alongside gdb. This is strong transparency for a detach/quit operation, though it does not describe session cleanup or return behavior.

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

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

The description is two sentences with no filler. The primary action is front-loaded, and the optional destructive behavior and default are stated in the second sentence. Every sentence contributes necessary 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 and no annotation support, so the description must carry the full context. While the core detach/quit behavior is covered, session_id is unexplained, and the description does not state what happens to the session after detaching or whether detaching is reversible. These are material omissions for correct invocation in a multi-session debugging 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%, so the description must compensate for both parameters. It fully explains kill_gdb, including its default, but never mentions session_id at all. An agent receives no semantic guidance for a parameter that likely selects which gdb session to detach, which is a significant 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?

The description opens with a specific verb and resource: 'Detach the MCP plugin from gdb.' It then clarifies the optional destructive variant with kill_gdb, which distinguishes this from sibling tools like kill_session. The behavior is unambiguous and immediately actionable.

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

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

The description implies when to set kill_gdb by explaining that the default leaves the externally launched gdb running. However, it never explicitly addresses when to prefer this tool over alternatives such as kill_session or wait_for_stop. The guidance is present but only implicit.

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

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

With no annotations, the description carries the behavioral burden and does add useful context: accepted address forms and the output categories (hex, printable-ascii, unreadable ranges). However, it does not disclose length semantics, error behavior for invalid addresses, or whether a session_id is required, which limits transparency.

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 sentences, action first, with concrete examples and no filler. The most important behavioral facts are front-loaded and every part of the text 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?

Adequate for a small read tool: address forms and return categories are given. But without an output schema or annotations, the absence of length-unit and session_id behavior leaves material gaps for an agent deciding how to invoke 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?

Address semantics are well explained beyond the schema, but schema description coverage is 0% and the description covers only one of three parameters. Length and session_id receive no explanation, so the agent still lacks crucial meaning for the other parameters.

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 clear action and resource: 'Read raw memory from the inferior.' This is specific enough to distinguish from most siblings like read_registers or disassemble, but it does not explicitly name or differentiate sibling tools, so it falls just 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 intended use is implied by the verb and resource—when raw memory bytes are needed—but there is no explicit guidance about when to prefer it over alternatives like get_memory_map or read_registers, nor conditions such as requiring a running/stopped inferior or a session.

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

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

With no annotations, the description carries the burden of conveying that this is a read-only operation and that the default is all general-purpose registers. However, it does not disclose session_id behavior, what happens if the target is not stopped, or how results 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 concise sentence front-loads the action and puts the default/subset distinction in a parenthetical. No filler or redundant restatement.

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 definition is usable for a simple read operation, but it lacks any guidance on session selection and does not describe the output shape despite no output schema being present. The missing session_id semantics create a real completeness gap.

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

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

Schema description coverage is 0%, so the description must explain parameters. It hints at the 'names' parameter with 'named subset' but never mentions session_id at all, nor the format or effect of the names 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 uses a specific verb and resource ('Read register values') and adds scope: all general-purpose registers by default or a named subset. This makes it clearly distinct from sibling tools like read_memory or write_register.

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

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

The description implies the tool is for reading register values and contrasts with write_register by saying 'read', but it never explicitly states when to choose this over alternatives or mentions any exclusions. Usage context must be inferred.

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

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose the stateful nature of the operation: selecting a frame affects subsequent inspections. However, it does not mention error behavior for invalid levels, whether the selection is scoped to a session, or what is returned after selection.

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

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

The description is a single, front-loaded sentence with no filler. Every part earns its place: the verb, the target resource, the level semantics, and the follow-on purpose.

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 low-complexity selection tool with no output schema, the description covers the essential call pattern: choose a frame by level, then inspect. It is slightly incomplete in not addressing what happens on invalid levels or how the optional session_id affects behavior, but the core information needed to invoke it correctly is present.

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 input schema provides no descriptions and coverage is 0%, so the description must compensate. It usefully defines the meaning of 'level' with '0 = innermost', but it says nothing about the optional session_id parameter besides what the schema name and default imply. Only one of the two parameters is meaningfully explained.

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 uses a specific verb ('Select'), a clear resource ('stack frame'), and a precise selection criterion ('by level'). The clarification that 0 = innermost removes ambiguity and helps distinguish this from related tools like get_backtrace or evaluate.

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 subsequent register/memory/local inspection' clearly communicates when this tool should be used: before inspecting frame-local state. It provides clear context, though it does not explicitly enumerate exclusions or alternatives such as 'use get_backtrace to enumerate frames first.'

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only enumerates return contents and says nothing about whether the call is side-effect free, whether an active/running session is required, how an invalid or null session_id is handled, or whether any blocking occurs. For a tool with zero annotation coverage this is a meaningful 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?

One short sentence with the core concept front-loaded and every word carrying meaning. It lists the key reported contents without filler or restating 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?

For a low-complexity tool (one optional param, no output schema), the description conveys the gist of what is returned. However, it is incomplete in the areas that matter most: session_id semantics (especially the null default), no when-to-use guidance against near-siblings get_stop_reason and list_sessions, and zero annotation coverage. Acceptable but with clear 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 compensate, but it only implies the parameter's role via 'one gdb session'. It does not explain what session_id accepts, what a null (the schema default) means — e.g., current/last session — or what happens when the id doesn't match any session. The description adds minimal meaning beyond the bare parameter name.

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 the resource ('one gdb session') and the specific data returned ('state, inferior info, last stop reason'), which is clear and distinguishes it from siblings like list_sessions (all sessions) and get_stop_reason (stop reason only). The verb is implicit ('gets'/'reports') rather than explicit, and sibling differentiation is implied rather than stated outright.

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 overlapping siblings such as list_sessions (enumerate sessions), get_stop_reason (a narrower query), or wait_for_stop (blocking). Usage must be inferred entirely from the phrase 'status of one gdb session', which is especially risky given that 'last stop reason' overlaps directly with get_stop_reason.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention side effects such as whether setting a breakpoint interrupts execution, requires a running session, overwrites existing breakpoints, or can fail for invalid addresses.

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 and clearly useful examples. It is concise, though slightly under-sized relative to the tool's seven 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?

Given seven parameters, no annotations, and no output schema, this description is materially incomplete. It explains only location and type, while omitting how the other parameters affect behavior, what the return value is, and what state is required for a successful 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%, and the description adds useful meaning for only two of the seven parameters: location (with examples) and type (with enum-like values). Parameters like thread, pending, condition, temporary, and session_id remain unexplained, leaving significant gaps.

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 uses a specific verb and resource ('Set a breakpoint at an address/symbol/expression') and gives concrete examples of valid locations, which makes the tool's core purpose immediately clear. It does not explicitly differentiate itself from sibling tools like manage_breakpoint or list_breakpoints, but the set-versus-manage/list distinction is reasonably inferable.

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 is provided about when to use this tool versus alternatives such as list_breakpoints or manage_breakpoint, nor about prerequisites like an active debug session. The listed breakpoint types hint at configuration choices but do not explain when each type is appropriate.

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 disclosure burden. It does well by revealing that the call blocks, that it can return due to timeout, and that it returns immediately if the inferior is already stopped. It stops short of explaining what the caller receives on timeout or whether it raises an error, but the core behavior is transparent.

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 communicates the blocking wait, stop conditions, timeout, and the already-stopped shortcut with 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 tool is simple, but the description still leaves out the behavior on timeout (return value vs. exception) and the role of session_id. Without an output schema or annotations, these details matter for an agent to know what to expect after invoking the tool.

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

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

Schema description coverage is 0%, and the description does not compensate by explaining session_id or timeout_ms. While the parameter names and the 'Timeout Ms' title are somewhat self-evident, the description omits important semantics such as what a null session_id means and what happens when timeout_ms elapses. This is a clear gap at this coverage level.

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 precise verb-resource pair ('Wait until the inferior stops') and enumerates the exact stop causes: signal, breakpoint, or exit. It also distinguishes itself from related operations by noting the immediate-return behavior when already stopped, so an agent can tell it apart from interrupt or get_stop_reason.

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 makes the core use case clear: block until the inferior stops or a timeout elapses. However, it does not explicitly say when to use this over alternatives like polling session_status or inspecting get_stop_reason, nor does it mention that it is typically called after continue_execution or interrupt.

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 are absent, so the description alone must disclose behavior. It reveals the write side effect only by saying 'Write raw bytes,' and gives no warning about memory corruption, alignment, permissions, or whether the target must be stopped. It does add the hex-format detail, but the behavioral risks of a memory write are left unstated.

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 an inline example; no redundant words or restating of the name. The crucial formatting constraint is front-loaded. It is appropriately concise for a simple write operation.

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

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

With no annotations and no output schema, the description should cover prerequisites, side effects, and parameter semantics, but it only covers hex formatting. An agent has no way to know what session_id selects, what the response is, or whether the inferior must be stopped. This is minimal and incomplete for a mutating 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?

The description explains the format of hex with two concrete examples, which is useful. However, it says nothing about address representation (string vs integer, base) or the meaning and role of session_id, leaving two of three parameters underdocumented. With 0% schema coverage, this is a significant 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 action ('Write raw bytes') and a specific target ('the inferior's memory'), with a concrete hex example. The name and description clearly distinguish it from read_memory and write_register. It is unambiguous about what resource it operates on.

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 read_memory, set_breakpoint, or execute_command. It does not mention prerequisites (e.g., a running or stopped inferior) or when an alternative would be more appropriate. The intended use is only implied by the name and verb.

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 must carry the behavioral disclosure burden. It does disclose that `value` is a gdb expression, which is useful, but it omits side effects, whether the target must be stopped, how register name should be formatted, and what happens after the write.

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

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

The description is two sentences with no waste, front-loading the operation and immediately providing the key parameter clarification. Every sentence contributes useful 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 mutation tool with no annotations, no output schema, and 0% schema coverage, the description is too sparse. An agent still lacks clear details about the `name` parameter, session context, expected results, and error conditions, making correct invocation dependent on assumptions.

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 usefully explains the `value` parameter with concrete gdb expression examples, but it does not clarify `name` (presumably the register name) or `session_id`, leaving those meanings to be inferred.

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 ('Write') and resource ('register'), so an agent can tell this sets a register value. It does not explicitly distinguish itself from siblings like write_memory or execute_command, though 'register' in the resource makes the target reasonably 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?

There is no guidance on when to use this tool instead of alternatives, such as write_memory for memory changes or execute_command for arbitrary gdb commands. The description implies you use it when you need to set a register, but it doesn't state prerequisites like an active session or stopped process.

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