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

Adds behavioral context beyond annotations: warns about potential app hangs during UI initialization, and explains idempotent nature implicitly.

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

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

Front-loaded with purpose, then detailed timing info. Slightly verbose but every sentence adds value; could be more concise.

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

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

Covers purpose, usage, timing, parameters, and alternatives; sufficient for a simple breakpoint tool without output schema.

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?

Describes each parameter with meaning (absolute path, 1-based line, optional conditions), compensating for 0% schema coverage.

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?

Clearly states 'Add a breakpoint at a specific line.' Distinguishes from siblings like add_function_breakpoint and add_tracepoint.

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

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

Provides explicit timing instructions (before/after start_debug, UI app details) and escape hatch reference, guiding when to use or not.

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?

Beyond annotations (idempotentHint=true, openWorldHint=false), the description reveals that breakpoints persist across restart cycles, how to remove them, and when the break triggers (on function entry), adding valuable behavioral context.

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 efficiently structured: main purpose first, then situational guidance, escape hatch, persistence info, and parameter details. Every sentence adds value with no redundancy.

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

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

For a straightforward function breakpoint tool, the description covers purpose, usage, behavior, parameters, and lifecycle, making it fully self-contained despite lacking an output schema.

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?

Despite 0% schema description coverage, the description's Args section explains each parameter (function_name: 'Full or partial function name to break on', condition: 'Optional condition expression', hit_condition: 'Optional hit count condition'), adding meaning beyond the schema's titles.

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 starts with 'Set a breakpoint on a function by name,' which clearly states the verb and resource. It distinguishes from siblings like add_breakpoint (line-based) and remove_function_breakpoint by explaining when to use (when method name is known but not line number).

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?

Explicitly states when to use ('when you know the method name but not the exact line number'), provides escape hatch reference, and explains persistence and removal options, guiding the agent to appropriate 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 minimal annotations (only openWorldHint: false), the description fully discloses behavioral traits: the tracepoint does not pause the program, logs values to a trace buffer accessible via get_trace_log, and handles async method adjustments automatically. No contradiction with 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?

The description is well-structured with paragraphs explaining behavior, state, and async handling, followed by an args list. It is efficient and front-loaded but could be slightly more concise by merging some sentences.

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

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

Given the lack of output schema and 3 required parameters, the description covers key aspects: purpose, state applicability, async behavior, and result storage. It could mention the return type or success indication, but overall it is sufficient for an agent to understand the tool's behavior.

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 provides brief explanations for each parameter (file: source file path, line: line number 1-based, expression: expression to evaluate) but lacks details like file path format or expression syntax rules, so it adds only minimal meaning beyond 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 clearly states 'Set a non-stopping tracepoint that logs expression values.' It uses specific verb+resource and distinguishes from sibling tools like add_breakpoint and add_function_breakpoint by highlighting the non-stopping behavior and logging purpose.

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 mentions 'State: Works in any state' and addresses async state machines, providing context for when to use the tool. However, it does not explicitly state when not to use it or compare directly with alternatives like breakpoints, so it lacks explicit exclusion guidance.

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

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

Beyond annotations (readOnlyHint, idempotentHint), the description adds context about the required state (STOPPED) and the return values, which is helpful. No contradictions.

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 concise, using a clear header, prerequisites, return list, and argument definitions. No extraneous 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?

The description covers inputs, outputs, and prerequisites adequately for a tool with two parameters. Minor omissions like error handling for empty collections don't significantly impact completeness.

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

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

With 0% schema description coverage, the description effectively explains both parameters: variables_reference (from get_variables response) and sample_size (default 5, number of first/last items). This adds necessary meaning beyond type.

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 tool analyzes a collection variable, specifies what it returns (count, element type, null count, first/last N items, numeric stats), and distinguishes it from sibling debugging and UI tools.

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 a necessary precondition (STOPPED state and get variables_reference from get_variables) but does not offer guidance on when to use this tool versus alternatives like summarize_object or other analysis tools.

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

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

Annotations already indicate destructiveHint: true, and the description confirms the tool edits source code, aligning with that hint. However, the description lacks additional behavioral context such as whether changes are permanent, affect the original file, or require specific permissions. Given annotations cover the destructive nature, a 3 is appropriate for adding minimal extra context (stopped session).

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 sentence with no wasted words. It is appropriately brief given the context, though it could benefit from a bit more detail without becoming verbose.

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?

Despite having an output schema (not shown), the description fails to fully describe the tool's behavior given its complexity and the many sibling tools. It does not explain the expected format of edits, what happens after applying (e.g., does the session continue?), or any limitations. The tool requires deeper guidance for proper use.

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 provides no information about the parameters 'file' or 'edits'. For 'edits', which is an array of objects with additionalProperties: true, there is no guidance on required structure (e.g., line numbers, new text). This is a critical gap that renders the tool difficult to use 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 tool applies source edits to a stopped debug session using Edit-and-Continue. It specifies both the action (apply source edits) and the context (stopped debug session), and distinguishes it from sibling tools like set_variable or evaluate_expression which operate on runtime values rather than source code.

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 mentions the tool is for a stopped debug session, providing clear context for when to use it. It does not explicitly state when not to use alternatives, but the specificity of 'Edit-and-Continue' implies it's for modifying source code during debugging, which is distinct from other tools.

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?

Discloses significant limitation: netcoredbg does not support justMyCode in attach mode, leading to unreliable debugging and incomplete stack traces. Notes this is an upstream limitation. Annotations only include openWorldHint:false, so description adds valuable behavioral context beyond 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?

Efficiently structured with strong front-loaded warning, then limitation, then usage conditions, then parameter. Every sentence adds value; 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?

Covers the tool's purpose, limitations, and parameter completely for a single-param tool with no output schema. Could mention that after attaching, other debug tools become usable, but the context of sibling tools makes this implicit.

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?

For the only parameter process_id, description explains it is a PID of an already-running .NET process and emphasizes NOT for normal debugging. This adds meaning beyond the schema (which only defines it as integer).

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?

Description clearly states the tool attaches to an already-running .NET process for debugging, distinguishing it from start_debug. Verb 'attach' and resource 'debug process' are specific.

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?

Explicitly advises against using this tool ('AVOID - Use start_debug instead'), details when it might be necessary (must debug an already-running process that cannot be restarted), and warns against using it when start_debug fails. Also references escape hatch for further options.

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

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

Annotations already declare destructiveHint: true. The description adds specific behavioral details: without force shows status, with force terminates all tracked processes (netcoredbg + debuggees) with no risk of killing unrelated processes. This goes beyond the annotation.

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 concise (a few sentences) and well-structured: it starts with a summary, explains both modes, includes a usage tip, and explicitly lists the argument. Every sentence adds value.

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 the tool has only one optional parameter and no output schema, the description adequately covers behavior and safety. However, it does not specify the exact return format (e.g., whether status output is a list or text). This minor gap prevents a 5.

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 no description for the 'force' parameter (0% coverage). The description fully explains its semantics: 'If True, terminate all tracked processes. If False, just show status.' This completely compensates for the missing schema description.

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 tool's purpose: 'View or terminate tracked debug processes.' It distinguishes between two modes (with and without force) and explicitly contrasts with manual taskkill, making the intent 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 advises using this tool instead of manual taskkill and explains when to use force (terminate) vs. not (status view). It does not explicitly mention sibling alternatives like terminate_debug, but the usage context is clear.

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?

Description goes beyond destructiveHint annotation by specifying scope: line breakpoints per file vs all line and function breakpoints. No contradiction with 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?

Three sentences, front-loaded with the main action, no filler. Escape hatch note is concise and useful.

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 sufficient for a straightforward tool with one parameter and existing annotations. It could be more explicit about the debugging domain, but the sibling list makes it clear.

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 has 0% description coverage and one optional parameter. Description adds meaning: with file clears line bps for that file, without clears all line and function bps. This compensates well for the lack of schema descriptions.

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?

Clearly states the action: clear breakpoints, with distinction based on file parameter. Explicitly distinguishes from sibling for removing a single function 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?

Explains when to use with vs without file, and points to an alternative for single function breakpoints. Lacks explicit exclusion for other cases but provides sufficient guidance.

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

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

Minimal annotations (only openWorldHint=false). The description says 'Clear' implying destruction but doesn't disclose irreversibility or scope. Does not specify if it affects only the log or also traces.

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 concise sentence with no wasted words. Could add a bit more context, but for a no-param tool it's efficient.

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?

Sufficient for a simple tool with no parameters, but lacks details on whether the action is reversible or what exactly gets cleared. Given the many sibling debug tools, a brief behavioral note would improve completeness.

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?

No parameters exist, so the description doesn't need to cover them. The tool is straightforward with zero arguments.

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 action ('Clear') and the resource ('tracepoint evaluation log'). It distinguishes itself from siblings like clear_breakpoints or remove_tracepoint.

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 vs alternatives. Does not mention prerequisites, side effects, or cases where it would be inappropriate.

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

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

Annotations already provide idempotent and open world hints. Description adds context about default behavior and effect of empty list. Does not contradict annotations and provides useful additional behavioral info.

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?

Starts with a one-line summary, followed by detailed explanation, examples, and escape hatch note. Every sentence adds value, no fluff.

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 single-parameter tool with good annotations, the description covers purpose, usage, parameter, and defaults. No 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 only parameter 'filters' is thoroughly described with examples ('all', 'user-unhandled') and instruction to pass [] to disable. Schema coverage is 0%, so description fully compensates.

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?

Clearly states the tool configures exception breakpoints for the debugger. The verb 'configure' and resource 'exceptions' are distinct from sibling breakpoint tools that add specific breakpoints. Differentiates well.

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?

Explains default behavior (no filters set) and how to disable (empty list). Lists common filters. Could be more explicit about when to use this vs add_breakpoint, but the purpose is clear.

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 description thoroughly explains the long-poll pattern, blocking behavior, and the state changes. It adds significant context beyond the minimal annotation (openWorldHint=false), covering the response contents and the danger of calling state-reading tools during 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?

The description is well-organized and front-loaded with key information. It is efficient but slightly verbose in the middle section.

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 preconditions, behavior, response, and important caveats. It does not mention timeout or error handling, but given the complexity, it is fairly 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?

The schema has 0% coverage for the only parameter (thread_id). The description does not explain what thread_id means or how to use it, leaving the agent with no guidance on this optional parameter.

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

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

The description clearly states the tool continues program execution and blocks until the program stops again. It distinguishes itself from stepping tools (step_into, step_over) which perform single steps, and from other execution control tools like restart_debug or stop_debug.

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 specifies the precondition 'State: STOPPED required' and warns against calling get_variables or get_call_stack while waiting. It provides guidance on when to use (when resuming execution) and what not to do, but does not explicitly compare with alternatives or mention when to avoid.

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 only have openWorldHint: false. Description adds behavioral details: captures local variables at current frame, requires STOPPED state, and eviction policy. No contradiction.

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?

Five sentences, each adds essential information without redundancy. Front-loaded with purpose and key prerequisites.

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 simple tool with one parameter and no output schema, description covers purpose, prerequisites, capacity limit, and parameter semantics completely.

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?

Single parameter 'name' with no schema description. Description adds 'Unique name for this snapshot', specifying uniqueness constraint beyond basic type info.

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?

Description states the action (capture), resource (local variables at current frame), and result (named snapshot). Clearly distinguishes from siblings like list_snapshots and diff_snapshots.

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?

Explicitly requires STOPPED state and breakpoint context, and mentions max snapshot capacity. Does not explicitly state when not to use or provide alternatives, but conditions are clear.

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 annotations already indicate readOnlyHint and idempotentHint. The description adds the bounded window aspect, but does not disclose return format, blocking behavior, or whether activity accumulation is reset. No contradiction with 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?

The description is a single sentence of 8 words, conveying the core purpose with no unnecessary text. It is front-loaded and efficient.

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 the simplicity of the tool (one parameter, no output schema), the description should clarify what 'activity' means and what is returned. Without an output schema, the return value is opaque. The description is too brief to be 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?

The description does not explain the window_ms parameter or its effect. The schema has no description for the parameter, so the agent must infer meaning from the parameter name alone. A description of how to choose the window size would be beneficial.

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 'Observe' and resource 'adapter-owned debuggee activity', clearly indicating it monitors debuggee activity. The phrase 'during one bounded window' distinguishes it from continuous monitoring tools like get_output or get_trace_delta, but the exact nature of 'activity' is vague.

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 on when to use this tool versus the numerous sibling tools (e.g., get_output, get_trace_delta, run_runtime_smoke_*). It does not mention prerequisites or 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?

Annotations already provide destructiveHint=true, so the destructive nature is known. The description adds that it clears 'stale debugger state' and reports a 'hygiene result', but does not detail what state is affected or what the hygiene result contains, offering only marginal added context.

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 sentence that conveys the core action and result without extraneous words, achieving maximum 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?

Given the tool has 4 parameters, no output schema, and is destructive, the description is insufficient. It fails to explain what constitutes 'stale debugger state', what the hygiene result looks like, or how it differs from related tools like clear_breakpoints, making it incomplete for reliable agent selection.

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

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

With 0% schema description coverage, the description should explain parameter roles, but it only mentions the overall action. It does not describe how the boolean parameters (clear_breakpoints, clear_trace_log, clear_exception_filters) or the optional file parameter influence behavior, leaving the agent to infer from names alone.

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 ('Clear') and resource ('stale debugger state') and mentions the output ('compact hygiene result'), which clearly distinguishes it from sibling tools like clear_breakpoints or clear_trace_log.

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 for cleaning up debugger state before debugging, but does not explicitly mention when to use this preflight tool versus individual clear tools like clear_breakpoints or clear_trace_log, nor does it specify prerequisites or 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?

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description does not contradict these. However, the description adds minimal behavioral context beyond the annotations, such as not mentioning error conditions 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 extremely concise: one main sentence and two parameter lines. It is front-loaded with the primary action and contains no filler or redundant 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?

Given the tool's simplicity (2 string parameters, no output schema), the description adequately covers purpose and parameters. It lacks details on error handling or exact output format, but for a straightforward diff tool, it is nearly 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 fully explain parameters. It does: name1 is 'First snapshot name (before state)' and name2 is 'Second snapshot name (after state),' providing clear roles beyond the schema's simple type and title.

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 'Compare two snapshots and show variable differences,' which specifies the verb (compare) and resource (snapshots). The sibling tools include list_snapshots and create_snapshot, so this tool's function is distinct and not overlapping.

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 does not explicitly state when to use this tool versus alternatives like list_snapshots or create_snapshot. It is implied in the context of debugging, but no explicit guidelines or prerequisites are given.

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

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

Annotations already declare readOnlyHint and idempotentHint, so the description's mention of capability gates adds some context. But it omits details about output format, error behavior, or side effects, which would enhance 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?

The description is brief and front-loaded with the primary action. The escape hatch note is useful but not essential. However, the lack of parameter details reduces efficiency, as the agent may need to infer from 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?

With 5 parameters, no output schema, and 0% schema coverage, the description is incomplete. It does not explain the meaning of parameters or the return value, which is critical for correct invocation in a debug 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. It only mentions 'memoryReference' but does not explain offset, instruction_offset, instruction_count, or resolve_symbols, leaving the agent without crucial parameter 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 the verb ('Disassemble') and resource ('machine instructions around a memoryReference'). It uniquely identifies the tool's purpose among debug siblings, as no other tool performs disassembly.

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?

Explicitly advises to use a stack frame's instructionPointerReference or executable memoryReference, and mentions the capability gate. The escape hatch hint provides a fallback. However, it does not explicitly state when not to use the tool.

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

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

The description does not disclose behavioral traits like side effects, permissions, or rate limits. With only openWorldHint: false annotation, the description carries the burden but fails to mention if evaluating is read-only or has side effects, leading to inadequate 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?

The description is extremely concise with two sentences, each serving a clear purpose: stating the tool's function and a necessary precondition. No redundant information exists.

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 the lack of output schema and low schema coverage, the description should provide more context about return values, errors, or usage details. It only mentions the required state and an escape hatch, missing critical information for effective use.

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 explain the parameters (expression, frame_id) beyond stating the tool's purpose. No details on format, semantics, or constraints are provided, leaving parameter understanding entirely to 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 clearly states the tool evaluates an expression in the debug context, with a specific verb (evaluate) and resource (expression). However, it does not distinguish from similar siblings like 'quick_evaluate', so it's not 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 description explicitly requires State: STOPPED, providing a clear precondition. But it offers no guidance on when to use this vs. other evaluation tools or alternatives, missing the 'when-not' or 'alternatives' 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?

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds no behavioral context beyond what annotations provide, offering minimal added value.

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 efficient sentence with no waste, but it is under-specified for a tool with 2 parameters and no parameter explanations.

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?

Despite annotations and output schema, the description lacks details on search scope, symbol type, and result interpretation, making it 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?

With 0% schema description coverage, the description must compensate but fails to explain 'name' (exact match? partial?) or 'max_results' behavior, leaving agents underinformed.

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 'Find literal symbol references across project files' uses a specific verb (Find) and resource (literal symbol references) with clear scope, distinguishing it from siblings like find_code_symbol.

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

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

No explicit guidance on when or when not to use this tool vs alternatives. The purpose is implied but not differentiated from siblings like search_source.

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

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

Annotations already indicate read-only and idempotent behavior. The description adds that it finds a definition specifically, but does not disclose additional behavioral traits such as case sensitivity, search scope, or behavior on not found.

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, clear sentence that front-loads the purpose. It is concise with no unnecessary words, though it could be slightly more structured for readability.

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 the tool's simplicity and presence of an output schema, the description is moderately complete. However, it omits context like search scope (e.g., entire workspace) and what happens if no symbol is found.

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%, yet the description only states 'by name and optional kind', adding no details about valid values for 'kind' or format constraints. It fails to compensate for the lack of schema documentation.

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

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

The description uses a specific verb ('Find') and resource ('C# symbol definition'), clearly distinguishing it from the sibling 'find_code_references' which locates references, not definitions.

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

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

No explicit guidance on when to use this tool versus alternatives like 'find_code_references'. The implied context is searching for a definition, but no when-not or exclusion criteria are provided.

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

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

Annotations already declare readOnlyHint=true and idempotentHint=true, but the description adds valuable behavioral context: that warnings are hidden by default and this tool retrieves them. No contradiction.

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?

Efficiently structured: short intro, bulleted usage list, and argument explanation. No filler, front-loaded with 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?

Given low complexity (1 optional param, no output schema), the description covers all necessary context: purpose, why this tool exists, when to use, and parameter meaning.

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 single parameter 'include_warnings' has default true and is described as 'the point of this tool', adding meaning beyond the schema. With 0% schema description coverage, the description compensates well, though it could clarify the default behavior more explicitly.

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 'Get full build diagnostics including all warnings' with a specific verb and resource. It distinguishes itself from sibling debug tools by focusing on build diagnostics that are hidden elsewhere.

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?

Explicitly lists four scenarios for use (e.g., 'Build succeeds but the app crashes', 'Investigating assembly loading issues') and explains why warnings are hidden by default in other tools, providing clear when-to-use context.

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

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

Annotations already indicate readOnly and idempotent. Description adds that the thread must be in STOPPED state, describes a diagnostic env var, and an escape hatch. Does not contradict annotations. Adds valuable behavioral context beyond what annotations provide.

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

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

Description is extremely concise: one sentence for purpose, three bullet points for state, diagnostic, and escape hatch. Every sentence adds value, and it's well-structured with headings.

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

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

No output schema, so description should explain return values, but only mentions 'Returns frame_id values needed for get_scopes()'. Missing parameter explanations and comprehensive return format. Despite annotations, the description is insufficient for a tool with undocumented parameters.

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?

Input schema has 2 parameters (thread_id, levels) with 0% description coverage. Description does not explain what these parameters mean or how they affect the call stack retrieval. Without any explanation, the agent cannot infer correct usage beyond their 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?

Description clearly states 'Get the call stack for a thread' with a specific verb and resource. It distinguishes itself by noting that it returns frame_id values needed for get_scopes, and references diagnostic env var and escape hatch, making the purpose 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?

Explicitly states 'State: STOPPED required', which is a critical usage prerequisite. Also mentions the dependency on get_scopes for further use of returned frame IDs. Provides an escape hatch reference. Lacks explicit 'when not to use' or alternatives, but the context is clear.

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

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

Annotations already declare readOnlyHint and idempotentHint. The description adds valuable context: the user cannot see this directly and should summarize for them, and it explains the importance of checking state before UI interaction.

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?

Extremely concise, front-loaded with core purpose, then details, then important usage notes. Every sentence adds value with no redundancy.

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

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

Given zero parameters and no output schema, the description covers the key return fields and critical usage context. It could be slightly more detailed about the exact format of returned data, but it is sufficient for a read-only 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?

No parameters exist, so the schema fully describes them. The description does not need to add parameter meaning; baseline 4 is appropriate.

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 it gets the current debug session state and lists returned fields. However, it does not explicitly differentiate from sibling tools like get_call_stack or get_scopes, which also return state-related data.

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

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

Provides explicit guidance: check state before UI interaction, call continue_execution if paused, and mentions an escape hatch for unwrapped DAP requests. This covers when to use and when not to use.

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

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

The description discloses required state: 'State: STOPPED required (stopped on exception).' It details the return content: exception type/message, inner exception chain, stack frames with source locations, and local variables. This goes well beyond the annotations (readOnlyHint, idempotentHint) and provides full behavioral context. No contradictions with 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?

The description is concise with three focused paragraphs: purpose and state requirement, return content and usage guidance, followed by a clear parameter list. Every sentence adds value, and it is well-structured for quick comprehension.

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 the complexity of exception context retrieval and the absence of an output schema, the description covers all essential aspects: what is returned, required state, parameter effects, and usage precedence. It is complete for an agent to understand and invoke 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?

Since schema description coverage is 0% (no parameter descriptions in the input schema), the description fully compensates by listing all three parameters with defaults and explaining their roles (max_frames, include_variables_for_frames, max_inner_exceptions). This adds meaning that the schema alone lacks.

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 tool's purpose: 'Get full exception context in one call (exception autopsy).' It specifies the verb 'get' and resource 'exception context', and distinguishes it from the manual sequence of multiple calls. The purpose is unambiguous and specific.

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?

Explicitly says 'Use this FIRST when the debugger stops on an exception.' It also describes that this tool replaces the manual sequence (get_exception_info → get_call_stack → get_scopes → get_variables), and mentions an escape hatch for DAP requests. This provides clear when-to-use and alternative guidance.

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

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

Description adds the state requirement beyond annotations (readOnlyHint, idempotentHint). Provides an escape hatch hint, adding behavioral context without contradiction.

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?

Extremely concise, three sentences each serving a purpose: purpose, state requirement, escape hatch hint. Front-loaded and efficient.

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?

Lacks description of return value or how thread_id affects results. With no output schema, the agent cannot anticipate what information is returned, reducing completeness for a simple 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?

With 0% schema coverage, the description must clarify the thread_id parameter, but it does not. No additional meaning is provided beyond the schema's type 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?

Description states 'Get information about the current exception' with a specific verb and resource. It is clear what the tool does, but does not explicitly differentiate from siblings like get_exception_context.

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?

Specifies required state 'STOPPED required (stopped on exception)', providing clear context for when to use. However, no mention of when not to use or comparison with alternative tools.

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?

Beyond annotations (readOnlyHint, idempotentHint), it discloses capability-gating and a refresh side effect, adding meaningful behavioral context.

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?

Extremely concise with two sentences and a brief note, front-loaded with core purpose, 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?

For a simple zero-parameter tool with no output schema, the description covers capability gate, side effect, and escape hatch, making it 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?

No parameters exist, so the description adds no param info; schema coverage is 100%, baseline score applies.

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 'List sources currently loaded by the debug adapter' with a specific verb and resource, and differentiates from sibling tools by focusing on loaded sources.

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 mentions capability-gating on supportsLoadedSourcesRequest and a side effect of refreshing the session view, providing context for when to use but no explicit exclusions or 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?

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds behavioral context: it resolves into source coordinates, is capability-gated, and works only with adapters supporting DAP 1.68+. No contradiction with 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?

The description is three sentences long, each serving a distinct purpose: core function, context, and escape hatch reference. No unnecessary words or redundancy.

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

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

Given the tool's simplicity (single parameter, no output schema, rich annotations), the description adequately covers what the tool does, when it can be used, and where inputs come from. It lacks explicit output behavior but references an escape hatch for advanced needs.

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 required integer parameter (location_reference) with 0% schema description coverage. The description explains it is a DAP location reference and hints at its origin, but does not fully specify its expected format or constraints, leaving some ambiguity.

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 tool resolves a DAP locationReference into source coordinates, specifying the verb 'resolve' and the resource 'locationReference'. This distinguishes it from sibling tools, which include other debug operations but none that specifically convert location references.

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 mentions it is capability-gated on supportsLocationsRequest and notes that location references come from variables or stack frames in DAP 1.68+ adapters. It also provides an escape hatch reference for unwrapped DAP requests. However, it does not explicitly contrast with alternatives or state when not to use it, though no direct alternative exists among siblings.

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

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

The description adds behavioral context beyond annotations: 'Data comes from module load/unload events tracked during the session.' Annotations indicate read-only and idempotent, which align with the description. No contradictions.

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 concise, with three sentences covering purpose, return values, data source, and an escape hatch note. It is front-loaded with the most important 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?

Despite no output schema, the description lists return fields (module name, path, version, optimization status, symbol loading state), making the tool's output clear. With no parameters, the description is 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?

The input schema has no parameters, so schema coverage is 100%. With 0 parameters, baseline is 4. The description does not need to add parameter information, and it doesn't.

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 tool's purpose: 'List loaded assemblies/modules in the debug session.' It uses a specific verb ('List') and resource ('assemblies/modules'), and distinguishes itself from sibling tools that focus on other debugging aspects like call stacks or variables.

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 context for when to use the tool: 'Useful for diagnosing assembly loading failures and version conflicts.' It does not explicitly state when not to use it or compare to alternatives, but the purpose is clear enough among siblings.

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

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

Annotations are minimal (destructiveHint=false), description adds behavioral context: output retrieval, no user visibility, and filter options. Does not mention side effects of clearing buffer, but overall 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?

Description is concise with clear sections: purpose, important note, usage advice, and parameter docs. Could be slightly trimmed, but well-structured and 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?

Covers usage, parameters, and important behavioral notes. No output schema, but hints at summarizing output. Sibling list shows many debug tools, but this one is unique. Adequate for its role.

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%, description fully documents both parameters: 'clear' (boolean, default false) and 'category' (stdout, stderr, console, default all). Adds meaning beyond 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 clearly states the tool retrieves stdout/stderr output from the debugged program, distinguishing it from siblings like get_output_tail and search_output. It also emphasizes that the user cannot see the output directly.

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?

Explicitly advises when to use (periodically during debugging) and how (read and summarize for user). Provides important instruction not to tell user to check console. Lacks explicit alternatives, but implied by siblings.

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

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

Beyond annotations (readOnlyHint, idempotentHint), the description adds critical behavioral guidance: the raw output is not visible to the user and must be summarized. This is valuable context for the agent.

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 concise (4 lines), front-loaded with purpose, then usage note, then parameter descriptions. Every sentence adds value without redundancy.

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

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

Given the simple parameters, no output schema, and rich annotations, the description covers all necessary aspects: purpose, usage, parameter semantics, and output handling. Nothing essential is missing.

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

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

With 0% schema description coverage, the description fully explains both parameters: 'lines' (number, default 50) and 'category' (filter by stdout/stderr/console, default all). This compensates completely.

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?

Clearly states the tool retrieves the last N lines of program output, which differentiates it from sibling tools like get_output (likely full output) and search_output (search).

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

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

Provides explicit usage context: useful for checking recent output without loading everything, and instructs the agent to summarize relevant info for the user since the user cannot see it directly. No explicit when-not or alternatives, but 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?

Annotations (readOnlyHint, idempotentHint) already declare safety and idempotency; description adds polling context but doesn't contradict or significantly extend behavioral disclosure.

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 concise sentences: purpose, usage with details, and escape hatch reference. 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?

With zero parameters, no output schema, and annotations covering safety, the description fully informs the agent about purpose, usage, and return fields.

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?

No parameters exist, and schema coverage is 100%; baseline 4 applies, and description adds no parameter detail (none needed).

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 'List active debugger progress operations', providing a specific verb and resource that distinguishes it from sibling tools like breakpoint or stepping tools.

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 advises polling during long adapter operations and mentions an 'escape hatch' for unwrapped DAP requests, offering clear when-to-use and alternative guidance.

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

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

The description adds significant behavioral context beyond the annotations (readOnlyHint, idempotentHint). It reveals required debug state (STOPPED), needed prior call (get_call_stack), and the return value's role (variables_reference for get_variables). This helps the AI understand the workflow and preconditions.

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 concise, with only 4 sentences. It front-loads the primary purpose, then provides prerequisites, return behavior, and an escape hatch mention. Every sentence adds value, and the structure is logical.

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 the lack of an output schema, the description should fully explain the return value. It states 'Returns variables_reference for get_variables()' but does not describe the structure of the scopes themselves (e.g., an array of scope objects with names). This omission makes the description less complete for a tool with no output schema.

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

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

With 0% schema description coverage, the description partially compensates by explaining the parameter's origin: frame_id comes from get_call_stack(). However, it does not describe the parameter's nature (e.g., null allowed, integer format) or its non-required status beyond the schema, leaving some ambiguity.

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 purpose: 'Get variable scopes for a stack frame.' It uses a specific verb ('Get') and resource ('variable scopes'), and distinguishes from sibling tools like get_variables (which uses the returned reference) and get_call_stack (which provides the frame_id).

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 explicit prerequisites: 'State: STOPPED required. Call get_call_stack() first to get frame_id.' It also indicates the next step: the returned variables_reference is for get_variables(). This gives clear usage context, though it does not explicitly mention when not to use this tool or provide 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?

Annotations already declare readOnlyHint and idempotentHint. The description adds the 'project-scoped' detail but does not disclose additional behavioral traits like symmetry of radius or permission needs. Adequate but not exceptional.

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, efficient and front-loaded, but risks under-specification for a tool with three parameters and an output schema.

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?

Missing details about return format, edge cases, and behavior of radius. Despite output schema existing, the description should provide more context for a tool with moderate complexity.

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 tool description does not explain parameters (file, line, radius) beyond their names. The agent must infer meaning, e.g., radius as line count, without further clarification.

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 verb 'Read' and resource 'source lines around a project-scoped location', clearly distinguishing from siblings like 'search_source' or 'get_locations'.

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 'search_source' or 'get_stop_context'. The description does not provide context for appropriate usage.

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

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

Annotations already indicate readOnlyHint and idempotentHint. The description adds behavioral context: it requires STOPPED state and is used to choose a target. Does not contradict 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?

The description is concise with a clear structure: purpose, state requirement, usage, args, and escape hatch. Every sentence adds value.

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 no output schema, the description adequately explains what the tool returns (list of targets) and when it is useful. Also includes state dependency and alternative access via escape hatch.

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%, but the description explains the parameter 'frame_id' with default behavior: 'Stack frame ID (uses current frame if omitted)'. This adds meaning beyond 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 clearly states the tool's function: 'Get available step-in targets for the current stack frame.' This is a specific verb+resource tuple and distinguishes it from sibling tools like step_into, step_out, step_over.

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?

Explicitly advises when to use the tool ('Call before step_into(target_id=N)') and prerequisites ('State: STOPPED required'). Also mentions an escape hatch for advanced use.

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

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

Annotations already declare readOnlyHint=true and idempotentHint=true, indicating safety. The description adds detailed behavioral context: returns stop reason, stack trace with source, locals in the top frame, hit count, and recent output lines. It also explains parameter defaults and effects, fully disclosing behavior beyond 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?

The description is well-structured with a short summary, a bullet-like list of returned items, usage guidance, and parameter descriptions. It is concise but could be slightly more compressed; however, every sentence serves a purpose and the structure aids readability.

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 the lack of output schema, the description adequately explains what the tool returns (stop reason, stack trace, locals, hit count, output lines). It covers the two optional parameters fully. While it doesn't detail nested structures, the tool name and context imply standard debug information. Overall, it is sufficiently complete for an aggregator 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 provide parameter meaning. It does so explicitly: 'include_variables: Include local variables for top frame (default True)' and 'include_output_tail: Include last N output lines (default 10, 0 to skip)'. This adds significant semantic value beyond the schema's bare defaults and titles.

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 'get' and resource 'rich context when stopped at any breakpoint'. It distinguishes itself from siblings by claiming it replaces many other calls, and explicitly advises 'Call this FIRST when execution stops', making its purpose 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 provides clear guidance to call this tool first when execution stops, positioning it as a primary aggregator. While it doesn't explicitly list alternatives, the instruction to use it FIRST effectively conveys when to use it. The mention of an escape hatch for unwrapped DAP requests adds context.

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

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

Annotations already declare readOnlyHint and idempotentHint, so the description doesn't need to repeat that. However, it adds no further behavioral context (e.g., whether threads are returned sorted, or if it reflects current snapshot). Adequate but not enhanced.

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 are very concise. The first sentence hits the core purpose; the second provides an escape hatch reference. Could be slightly more focused if the escape hatch were integrated into guidance, but no waste.

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 parameterless tool with annotations covering safety, the description is mostly adequate. However, it omits what the return value contains (e.g., thread IDs, names). Without an output schema, this missing context could require the agent to infer.

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?

No parameters exist, and schema coverage is 100% (vacuous). The description correctly implies it's an unrestricted list operation. No additional parameter details needed.

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 'Get all threads in the debugged process.' It uses a specific verb and resource, and the scope is well-defined. No sibling tool directly competes, so differentiation is inherent.

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

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

No explicit guidance on when to use this tool versus alternatives. The escape hatch mention hints at an alternative for raw DAP requests but doesn't clarify usage context or prerequisites.

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 declare readOnlyHint and idempotentHint, ensuring safe and repeatable calls. The description adds context beyond annotations: working in any state and explaining cursor alternatives (mark_trace_cursor or raw timestamp). No contradictions.

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 extremely concise: one line for purpose, one line for state, and three lines for parameters. Every sentence adds value with no fluff or redundancy.

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

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

Missing output schema, so description should explain what gets returned (e.g., format of log entries). It does not describe the return value or error conditions. With only 3 parameters and simple behavior, the absence of output details makes it marginally 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%, but the description compensates fully: cursor is explained as 'Cursor returned by mark_trace_cursor or a raw monotonic timestamp', limit as 'Maximum number of entries to return', and tracepoint_id as 'Optional tracepoint filter overriding the cursor filter'. This adds critical meaning beyond the schema's type definitions.

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 'Get' and the resource 'tracepoint log entries' with the mechanism 'after a cursor'. It distinguishes from sibling tools like get_trace_log (which returns full log) and mark_trace_cursor (which creates cursors).

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 mentions 'State: Works in any state' but does not explicitly state when to use this tool over alternatives like get_trace_log. The cursor parameter implies prior use of mark_trace_cursor but lacks explicit guidance.

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

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

Annotations already indicate read-only and idempotent behavior. The description adds the state constraint ('Works in any state'), which is useful context beyond annotations. No contradictions or omissions.

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 extremely concise with two sentences for purpose and two lines for parameters, no wasted words. Information is front-loaded and efficiently structured.

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

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

Given the tool's simplicity and annotations, the description covers purpose, state, and parameter meanings. However, it lacks details about return format or pagination, which could aid completeness.

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 fully compensates by explaining both parameters: 'since' for timestamp filtering and 'tracepoint_id' for specific tracepoint filtering. This adds meaning beyond the schema's type 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 clearly states the action 'Get tracepoint evaluation log,' which is a specific verb and resource. It is distinct from sibling tools like 'add_tracepoint' or 'clear_trace_log'.

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 mentions 'Works in any state,' providing minimal usage context. However, it lacks when-to-use or alternatives, and does not differentiate from similar tools like 'clear_trace_log' or 'list_breakpoints'.

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

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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is known. The description adds valuable context beyond annotations: the required stopped state, paging support, and a note about the escape hatch. It does not repeat the 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?

The description is concise and front-loaded with the purpose. It uses a clear structure: brief intro, state requirement, paging mention, parameter details, escape hatch. Every sentence adds value without redundancy. It is not overly verbose.

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 no output schema, the description covers the essential aspects: what the tool does, preconditions, paging, and parameter meanings. It could be improved by describing the return format (e.g., an array of variable objects), but the current level is sufficient for an agent to understand usage.

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

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

Schema description coverage is 0%, so the description carries the full burden. The 'Args:' section explains each parameter (variables_reference, filter, start, count) with meaningful descriptions, including the allowed values for filter ('indexed' or 'named'). This adds significant value beyond the bare 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 clearly states 'Get variables for a scope or structured variable,' which is a specific verb and resource. It distinguishes itself from siblings like get_scopes (which returns scopes) and set_variable (which modifies) by mentioning the prerequisite call to get_scopes and the stopped state requirement.

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 'State: STOPPED required. Call get_scopes() first to get variables_reference,' providing clear when-to-use guidance and a prerequisite. It could improve by explicitly contrasting with set_variable or other alternatives, but the context is sufficient for an AI agent.

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

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

Annotations already declare readOnlyHint and idempotentHint. The description adds behavioral context that the tool does not build or launch, which is useful. No contradiction, but no further behavioral details provided.

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 of 7 words, front-loaded with the verb 'Inspect'. Every word earns its place with no redundancy.

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

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

Given the simple tool (1 param, no output schema), the description covers the core purpose but lacks details about what compatibility is checked or what the return value means. Adequate 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 coverage is 0% for the single required parameter 'program', and the description does not describe the parameter at all. It fails add meaning beyond the schema's bare name and type.

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 tool inspects target/dbgshim compatibility without building or launching. It uses a specific verb and resource, and distinguishes from sibling tools that perform building or launching.

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 context on when to use (when checking compatibility without side effects) by stating 'without building or launching'. However, it does not explicitly mention when not to use or suggest 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?

Annotations already indicate destructiveHint: true, so the destructive nature is known. The description adds 'with leak detection,' providing a behavioral trait beyond annotations. However, it does not explain what leak detection entails or other behaviors like error handling.

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 sentence, concise and front-loaded with the action. It wastes no words but lacks details expected for a destructive tool. It is efficient but could be more informative.

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 the tool is destructive with a single parameter and no output schema, the description omits critical context: what happens on success/error, leak detection specifics, reversibility, and prerequisites. It is insufficient for complete understanding.

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 only generically references 'named' without elaborating on the 'name' parameter's format, constraints, or how to obtain it. It does not compensate for the missing schema descriptions.

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 'Remove a named instrumentation group with leak detection,' clearly indicating the action and resource. It distinguishes from siblings like 'instrumentation_group_create' and 'instrumentation_group_inspect.' However, it could be more explicit that the group is identified by the 'name' parameter.

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 no guidance on when to use this tool vs alternatives (e.g., when to remove vs create or inspect). There are no usage scenarios, prerequisites, or exclusions mentioned.

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 annotation destructiveHint=true already indicates state modification. The description confirms creation but adds no additional behavioral context (e.g., side effects, permissions, or reversibility).

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, concise but lacking essential details. It is front-loaded but provides minimal 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?

Given the tool's complexity (two complex optional parameters, no output schema), the description is insufficient for an agent to understand how to correctly invoke the tool. Missing parameter structure and return behavior.

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

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

With 0% schema description coverage and three parameters, the description only hints at the 'name' parameter but provides no details about the breakpoints and tracepoints objects, leaving agents to guess their structure.

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

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

The description clearly states the tool creates a named group for breakpoints/tracepoints with a specific use case (smoke evidence). It distinguishes from sibling tools like add_breakpoint and instrumentation_group_clear.

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

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

The description implies usage for smoke testing but provides no explicit guidance on when to use this tool versus adding individual breakpoints or tracepoints. No mention of prerequisites or context.

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 annotations already indicate readOnlyHint=true, so the description does not need to restate that. However, the description adds no additional behavioral context, such as what happens if the name is invalid, or if data is truncated. It provides minimal added value beyond the 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?

The description is a single sentence, which is concise and front-loaded. However, it may be too brief; a slightly more informative sentence would be warranted without reducing 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?

Given the tool's simplicity (one required parameter, no output schema), the description still lacks completeness. It does not explain what the inspection produces (e.g., a list of hits, detailed logs) or how to interpret the results. The agent is left guessing about the 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 only parameter 'name' has no description in the schema (0% coverage). The description does not clarify what 'name' refers to (presumably the group name), nor does it explain acceptable values. The description fails to compensate for the missing schema documentation.

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

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

The description uses the verb 'Inspect' and specifies the resource 'grouped breakpoint hits and trace logs', making the tool's purpose clear. It implicitly distinguishes from siblings like 'instrumentation_group_clear' and 'instrumentation_group_create' by focusing on inspection rather than modification. However, it could more explicitly differentiate from other inspection tools.

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_trace_log or list_breakpoints. No prerequisites or exclusion criteria are mentioned. The description lacks any contextual usage advice.

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

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

Annotations already indicate read-only and idempotent. Description adds that per-file filtering only affects line breakpoints, which is useful but does not significantly expand beyond annotation information.

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 plus a note: no fluff, every sentence adds value. Front-loaded with the main action and key constraint.

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

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

No output schema and no mention of return format or structure. For a list tool, agents may need to know what fields are returned. The escape hatch partially covers advanced needs, but overall completeness is average.

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 has 0% description coverage, so description must compensate. It clarifies the 'file' parameter: provides a file to filter only line breakpoints in that file. This adds meaning beyond the schema, though format details are missing.

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?

Description clearly states the tool lists breakpoints (line and function), and specifies that the per-file filter only applies to line breakpoints. This distinguishes it from siblings like add_breakpoint or clear_breakpoints.

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

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

No explicit when-to-use or when-not-to-use guidance. The escape hatch mentions DAP requests for unwrapped details, but does not compare to other listing tools or explain scenarios where this tool is 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?

Annotations already declare readOnlyHint and idempotentHint, so the agent knows it is a safe read operation. The description adds that it lists metadata but does not disclose any further behavioral traits like pagination or ordering.

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 sentence with no wasted words. It is appropriately concise and directly states the tool's 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?

Given the simple nature of the tool (no parameters, no output schema) and the presence of good annotations, the description is mostly complete. However, it could mention what metadata is included or any ordering behavior.

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 are no parameters, and schema coverage is 100%. The description need not add parameter information, so a baseline of 4 is appropriate.

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 tool lists snapshots with metadata, using a specific verb and resource. However, it does not explicitly differentiate from sibling tools like create_snapshot or diff_snapshots, which would improve clarity.

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 on when to use this tool versus alternatives. Given the large number of sibling tools, explicit usage context would help an agent choose correctly.

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

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

Annotations already declare readOnlyHint=true (safe) and idempotentHint=true (repeatable). The description adds that it works in any state, which is useful. It does not describe return behavior or side effects beyond marking, but annotations cover safety adequately.

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 with no wasted words. The main purpose is front-loaded, followed by state info and parameter description. Every sentence is informative and earns its place.

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

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

Given the tool has one optional parameter and no output schema, the description covers essential aspects. It could explicitly mention the relationship to get_trace_delta for a more complete lifecycle context, but it is sufficient for a simple tool.

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

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

Schema coverage is 0% for parameter descriptions, but the description explains 'Optional tracepoint filter to bind into the cursor', adding meaning about the parameter's role as a filter and its effect on the cursor. This compensates for the lack of schema descriptions.

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?

Description clearly states 'Mark the current tracepoint log boundary for later delta reads', specifying the verb 'mark' and resource 'tracepoint log boundary'. It distinguishes itself from siblings like get_trace_delta (reads the delta) and clear_trace_log (clears the log). The 'State: Works in any state' adds context.

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 before calling get_trace_delta (for later delta reads), providing clear context. It does not explicitly state when not to use or mention alternatives like runtime_smoke_mark_event_cursor, but the purpose is clear for the intended use case.

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

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

Annotations already declare readOnlyHint=true, so the description aligns with a non-mutating operation. However, the description adds no further behavioral context such as side effects, error conditions, or limitations beyond what annotations convey.

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?

Single sentence front-loads the action, contains no filler, and is appropriately sized for the tool's 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?

Given the tool has 5 parameters, no output schema, and zero schema description coverage, the description is too minimal to be fully complete. It lacks details on parameter usage, expected patterns, and behavior, making it insufficient for an agent to use correctly.

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

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

Schema description coverage is 0%, yet the description explains none of the five parameters individually. It hints at 'required' and 'forbidden' but omits 'checkpoint', 'regex', and 'max_matches'. This fails to compensate for the missing schema descriptions, leaving parameter meaning ambiguous.

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?

Description uses a specific verb 'assert' and clearly identifies the resource 'required and forbidden output patterns since a checkpoint'. It distinguishes from sibling tools like search_output and get_output by focusing on assertion rather than retrieval.

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?

Description implies usage for verifying output patterns relative to a checkpoint but provides no explicit when-to-use or when-not-to-use guidance. It does not mention alternatives or prerequisites.

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 declare idempotentHint=true and openWorldHint=false. The description adds minimal behavioral context ('Mark the current output buffer position') which is consistent but does not elaborate on side effects or state changes beyond what annotations imply.

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 sentence, making it concise, but it does not earn its place fully as it lacks crucial parameter details. It could be improved by integrating parameter explanation without becoming verbose.

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

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

With no output schema and only one parameter, the description should fully explain the tool's purpose and parameter. It fails to cover the parameter's role, making the description incomplete for correct invocation.

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

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

The input schema has one required parameter 'name' with no description and 0% schema coverage. The description does not explain what the name parameter represents or how to use it, leaving the agent with no guidance on parameter 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?

Description uses a specific verb-resource pair ('Mark the current output buffer position for later assertions') that clearly states the tool's function and distinguishes it from siblings like output_assert_since.

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 (to later assert about output) but does not explicitly state when to use or when not to, nor mention alternatives or prerequisites.

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 declare idempotentHint=true and openWorldHint=false. Description adds crucial behavioral info: that it returns immediately and does not wait for a stopped event, unlike step tools. This goes beyond annotations, though annotations already indicate it's safe to retry.

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?

Four sentences, each earning its place. No fluff. Front-loaded with the core action. Ideal 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?

For a simple tool with one optional param and no output schema, the description covers the main behavioral aspects: required state, non-blocking nature, recommended follow-up, and escape hatch. Minor missing detail about thread_id, but overall 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?

Schema coverage is 0% and the description does not explain the thread_id parameter. While the parameter name and type are self-evident, the description fails to add context (e.g., what happens when null). This is a gap given low coverage.

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 'Pause program execution' with a specific verb and resource. It distinguishes itself from sibling step/continue tools by noting it returns immediately and does not block. The required state 'RUNNING' is also specified.

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?

Explicitly states when to use: 'State: RUNNING required.' and suggests using get_call_stack() after pause. Contrasts with continue/step tools and provides an escape hatch reference, offering clear when-to-use and when-not guidance.

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

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

Describes atomic pause-eval-resume with ~5ms pause. Annotations already indicate idempotent and not read-only, and description adds detail without contradiction.

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?

Efficiently structured: concise summary, key details, usage note, and args. Each sentence adds value.

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?

Covers purpose, usage, parameters, and behavioral details. Minor gap: no mention of return value format, but acceptable given standard debugger behavior.

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 has no descriptions (0% coverage), but description provides clear parameter explanations with examples for expression and context for frame_id.

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

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

Clearly states the tool evaluates an expression while the program is running via atomic pause-eval-resume. Distinguishes from sibling 'evaluate_expression' for stopped programs.

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?

Explicitly states when to use (program running) and when not to (stopped: use evaluate_expression). Also provides escape hatch reference.

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 description adds behavioral details beyond annotations: capability limitations, error conditions, and count=0 behavior. Annotations already indicate idempotent and read-only, but description enriches understanding.

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 well-structured with a brief header and parameter list, but includes some verbose context about capability-gating and escape hatch that could be more concise.

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

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

Given the rich annotations and presence of output schema, the description covers purpose, parameters, behavioral quirks, and limitations, making it complete for the tool's complexity.

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

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

With 0% schema coverage, the description fully explains each parameter's meaning and behavior, including DAP source for memory_reference and count=0 edge case.

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 tool reads raw memory bytes from a DAP memoryReference, using specific verb and resource. It distinguishes from sibling tools like write_memory and evaluate_expression.

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 context on capability-gating and an escape hatch for unsupported cases, but does not explicitly contrast with alternative tools for reading memory data.

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 indicate idempotentHint=true and openWorldHint=false, which partially inform behavior. The description adds no further behavioral details (e.g., what happens if breakpoint doesn't exist). With annotations, a score of 3 is appropriate as baseline.

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 extremely concise: two sentences with no fluff. The first sentence directly states the purpose, and the second adds relevant escape hatch information. 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 removal tool, the description is minimally sufficient but lacks details on error handling (e.g., non-existent breakpoint) and return value. With no output schema and 0% parameter coverage, more context would be beneficial.

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%. The description does not explain the parameters 'file' or 'line', leaving the agent without additional context on expected format or constraints. The description fails to compensate for the lack of schema documentation.

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

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

The description clearly states the action: 'Remove a breakpoint from a specific line.' The verb 'Remove' and resource 'breakpoint' are specific. It distinguishes from sibling tools like 'add_breakpoint' and 'list_breakpoints' by focusing on removal.

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 no guidance on when to use this tool versus alternatives like clearing all breakpoints with 'clear_breakpoints'. It only mentions an escape hatch for unwrapped DAP requests, which does not clarify usage context.

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 provide idempotentHint: true and openWorldHint: false, which cover safety and repeatability. The description adds the 'exact match' detail but does not discuss behavior when breakpoint does not exist. It aligns with annotations, no contradiction.

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 extremely concise: one sentence plus a minimal Args note. It is front-loaded and contains no extraneous information, 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 tool with one parameter and no output schema, the description is largely complete. It could mention the effect of calling on a non-existent breakpoint, but the idempotent annotation covers that. Output schema absence is acceptable given the tool's simplicity.

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 adds meaning beyond the schema by noting that function_name must match exactly what was passed to add_function_breakpoint. With 0% schema coverage, this helps the agent understand the parameter's role and format requirement.

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 it removes a function breakpoint by name, distinguishing it from siblings like remove_breakpoint (which likely handles other breakpoint types). The phrase 'exact match used at add time' adds precision.

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 use for removing function breakpoints, but does not explicitly state when to avoid this tool (e.g., for non-function breakpoints use remove_breakpoint). It provides context but lacks clear 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?

Does not disclose behavioral traits beyond the basic action; no mention of error handling, side effects, or requirements. Annotations are minimal and do not compensate.

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?

Very concise with two short sentences; no unnecessary words, but could benefit from a structured format or bullet points.

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

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

Adequate for a simple one-parameter tool, but lacks information about return values, error conditions, or prerequisites. Minimal annotations do not supplement.

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?

Adds value to the schema by providing a concrete example ('tp-1') for the tracepoint_id parameter, which is missing from the schema description.

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?

Description clearly states the action 'Remove a tracepoint' and specifies the method 'by ID', distinguishing it from sibling tools like add_tracepoint and clear_tracepoints.

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; does not mention prerequisites 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?

Describes basic steps (stop, optionally rebuild, relaunch) but lacks detail on side effects like breakpoint retention or state preservation. Annotations are minimal, so description could do more.

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?

Concise and well-structured: main action first, then steps, usage, escape hatch, parameter. No unnecessary 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?

For a simple tool with one parameter and no output schema, the description covers action, parameter, usage context, and an advanced option. Complete and 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 single parameter 'rebuild' is fully explained with purpose and default value, adding meaning beyond the schema's type 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?

Clear verb 'restart', specific resource 'current debug session', and scope 'with same configuration'. Distinct from siblings like start_debug or stop_debug.

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?

Explicitly states when to use: 'after code changes'. Mentions an escape hatch for advanced cases, but does not detail when not to use or fully compare 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?

Annotations provide only openWorldHint: false, offering little behavioral context. The description mentions 'with cleanup evidence' but does not specify what cleanup entails, whether it is destructive, or what side effects occur. No readOnlyHint is present, so the agent cannot assess safety. The description adds minimal transparency beyond the verb.

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 sentence, concise and front-loaded with the essential action. However, it sacrifices necessary detail, which might be acceptable if the tool is well-known, but for an AI agent, it is borderline under-specified.

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 the complexity of a smoke test scenario plan and the lack of an output schema, the description is incomplete. It does not describe return values, success indicators, or error conditions. Combined with the vague parameter semantics, the agent lacks sufficient context to use the tool reliably.

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 coverage is 0%, so the description must explain the 'plan' parameter. It describes it as a 'scenario plan' and mentions 'bounded' and 'cleanup evidence', but does not define the expected structure, allowed fields, or constraints. The schema has additionalProperties: true, offering no guidance, and the description fails to compensate.

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 'Run' and identifies the resource as a 'bounded runtime smoke scenario plan', which distinguishes it from sibling tools like 'add_breakpoint' or 'start_debug'. However, the jargon 'bounded runtime smoke scenario plan' may be unclear to an agent unfamiliar with the domain.

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

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

No explicit guidance on when to use this tool versus alternatives. The sibling list contains many debug and UI tools, but no analog to 'run_runtime_smoke', leaving the agent to infer context. The description does not indicate prerequisites, ordering, or exclusions.

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

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

Annotations already declare destructiveHint=true and idempotentHint=true. The description adds context about the specific scenario (failed/timed-out cleanup) and the action ('Clear contamination'), which is useful beyond the 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?

The description is a single, concise sentence that front-loads the purpose without any 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?

Given zero parameters, no output schema, and annotations that cover destructive/idempotent behavior, the description fully explains the tool's purpose and context of use.

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?

No parameters exist, and schema coverage is 100%. The description does not need to add parameter details, and zero parameters merit a baseline of 4.

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 ('Clear') and resource ('runtime-smoke contamination') and provides context ('after failed or timed-out cleanup'), clearly distinguishing it from sibling runtime_smoke tools like start, stop, or validate.

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 states when to use the tool (after failed or timed-out cleanup), providing clear context. It does not mention when not to use it or alternatives, but the use case is narrow and well-defined.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, making the read-only nature clear. The description adds no extra behavioral context beyond 'Return', such as what the evidence packet contains or potential 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?

The description is a single concise sentence. It is front-loaded and to the point, though it could be slightly more informative without becoming verbose.

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

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

With no output schema and many sibling tools, the description fails to adequately inform the agent about return format, pagination, or how to effectively use the parameters. The tool's behavior in different scenarios is opaque.

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 the description does not explain any of the 4 parameters (run_id, after_cursor, event_limit, agent_mode). The agent receives no help understanding parameter meaning or usage.

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 tool returns a compact evidence packet for a smoke run, using specific verb and resource. However, it does not differentiate this from sibling tools like runtime_smoke_get_result or runtime_smoke_get_event_delta.

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 like runtime_smoke_get_result. The description does not mention prerequisites or context for invocation.

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