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

No annotations are provided, so the description carries the full disclosure burden. It does well to state the hunger scale (0 = full, 100 = starving) and the direction of happiness/health effects, but says nothing about feeding limits, overfeeding consequences, cooldowns, or what the response contains. For a zero-parameter mutation this is adequate but incomplete.

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 compact sentences: action, effects with scale, then trigger. The core behavior and the hunger scale are front-loaded. Nothing is redundant, though the parenthetical hunger explanation slightly interrupts the flow.

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 no-param tool with no output schema and no annotations, the description covers what it does, its effects, and when to use it. Missing only return-value expectations and interaction with sibling tools like give_treat, which would be needed to make routing fully reliable.

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

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

The tool takes no parameters, so the baseline is 4. The description correctly implies no inputs are needed ('Feed the bot Pixel'), and there are no parameter semantics to compensate for.

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

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

Specific verb ('Feed') and resource ('the bot') with explicit effects: reduces hunger, boosts happiness and health. It does not distinguish itself from the sibling give_treat, which is a closely related feeding action, so an agent cannot tell when to pick one over the other from the description alone.

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

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

Gives a clear trigger: 'Use when the user says the bot is hungry or asks to feed it.' This is actionable context for when to call it. It stops short of exclusions or naming an alternative such as give_treat or play_with_bot, which leaves edge cases unresolved.

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

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

No annotations are provided, so the description carries the burden. 'List' implies a read-only, non-destructive operation and the sandbox scope plus returned fields are stated, but it omits pagination/ordering behavior and whether results span all files or only recent sessions.

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

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

Two tight sentences, zero waste, with the purpose front-loaded and the usage cue immediately following.

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 list tool with a fully documented schema and no output schema, the description covers what it returns and when to reach for it. Only richer behavioral detail (ordering, scope boundaries) 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?

Only one parameter (limit) with 100% schema coverage and a documented default of 20, so the schema does the heavy lifting. The description adds nothing beyond the schema about the limit or ordering 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?

States a specific verb ('List') and resource ('recent sandbox file writes') and clarifies the record fields with 'who wrote what, and when'. It implicitly separates itself from write_file/read_file by being a history view, though it never names sibling tools outright.

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

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

'Use before undoing a write you did not intend to make' gives a concrete triggering situation that points the agent toward undo_write as the follow-up action. No explicit when-not conditions or named 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?

No annotations are provided, so the description carries the full burden. "Return" implies a read, but it never states explicitly that the call is side-effect free, nor whether reading advances time or triggers stat decay — plausible concerns for a bot simulator.

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, front-loaded with the action and then the exact return contents, with zero filler.

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

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

There is no output schema, so the description must describe the return value — and it does, naming every stat field, the mood and the age in days. It stops short of describing value ranges or whether stats decay over time, which would make it fully self-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 schema has zero properties, so there are no parameter semantics to explain; the baseline of 4 applies. The description correctly implies no input is 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?

Specific verb ("Return") plus resource ("the bot's current stats") with the returned fields enumerated (hunger/happiness/energy/health, mood, age). It is functionally separable from the mutating siblings (feed_bot, play_with_bot, rest_bot), though it never names them to make the distinction explicit.

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

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

Usage is only implied: an agent can infer this is the read-side companion to feed/play/rest, but the description never says when to call it (e.g., before feeding to check hunger) or that the mutators are the alternative for changing stats.

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

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

With no annotations, the description carries the full burden and does disclose the two key behaviors: it consumes one treat from inventory and it boosts happiness, health and energy. It does not say what happens when the inventory is empty, whether the call fails or is a no-op, or how large the boost is, which matters for a state-mutating tool with zero annotation coverage.

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

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

Two sentences, both of which earn their place: one states the action and its cost, the other states the effect. The cost, the most decision-relevant fact, is front-loaded before the benefit.

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 zero-parameter, no-output-schema tool, the description covers the essentials: what it does, what it costs, and what it changes. The only meaningful gap is the failure mode when no treat is available, which an agent would want to know before attempting the call.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline for a parameterless tool applies, and the description doesn't waste words inventing parameter detail.

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

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

The description states a specific verb and resource ('Give Pixel a treat from the inventory') and implies a distinct mechanic from feed_bot, play_with_bot and rest_bot by consuming a stored treat. It could have explicitly named how it differs from feed_bot, but the resource is unambiguous enough to separate it from its siblings.

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

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

The cost sentence ('earned by feeding, playing and resting') implies the precondition for using this tool, so usage is inferable rather than stated. There is no explicit guidance on when to prefer this over feed_bot or play_with_bot, nor any stated exclusion.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the sandbox scope and default root path, but does not describe return format, ordering, hidden-file behavior, or error cases.

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

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

Two concise sentences with the purpose front-loaded and no wasted language. The default path and usage hint are both useful and compact.

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 one-parameter, optional, non-destructive directory listing tool, the description is nearly complete. The main omission is return shape, but the tool is simple enough that this is a minor gap.

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

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

Schema description coverage is 100%, and the schema already documents 'path' with a default of '.'. The description confirms the sandbox-root default but adds no new syntax or format details 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?

States a specific verb and resource ('List a directory') and scopes it to the sandbox, which clearly distinguishes browsing from read_file/write_file siblings.

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

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

Provides clear usage context: browse files before reading or writing. It does not name explicit alternatives or exclusions, but the guidance is sufficient for a simple listing 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?

With no annotations provided, the description carries the full burden and does disclose the mutation's side effects on happiness, energy, and hunger plus a failure condition — meaningful behavioral context an agent cannot get from the empty schema. It does not say whether a failed play leaves state untouched or what the error looks like, which keeps it below a 5.

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

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

Two short sentences with no filler; the action and its effects come first, and the failure condition is placed last where it belongs. Every clause adds information.

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

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

For a zero-parameter tool with no output schema, the description supplies what the agent needs: what changes in state and when the call fails. Magnitudes (how much energy/happiness) and post-failure state are unspecified, which is a minor but real gap for an agent reasoning about resource management.

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

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

The tool takes zero parameters, so the baseline is 4 and there is nothing the description needs to disambiguate. It correctly implies a parameterless, single-target action.

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

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

"Play with the bot" states a specific verb and resource, and the follow-up sentence enumerates the concrete state effects (happiness up, energy down, hunger up), which distinctively separates it from feed_bot, rest_bot, and give_treat. It stops short of naming those siblings explicitly, but the effect profile makes the distinction inferable.

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

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

"Fails if the bot is exhausted or sick" gives a usable precondition for calling it, and the energy cost implies a budget consideration. However, there is no explicit guidance on when to choose play over feed_bot/give_treat, nor any suggestion to check get_bot_status first.

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

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

With no annotations, the description must carry the behavioral load, and it does disclose key constraints: UTF-8 only, sandbox-scoped, absolute paths and '..' rejected. It omits error behavior for missing files, size/encoding failure modes, and return shape, which matters given there is no output schema.

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

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

Two sentences, zero waste, with the core action and the hard constraint both front-loaded. Nothing could be cut without losing information.

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

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

For a one-required-parameter read tool with full schema coverage, this covers scope, encoding, and path rules adequately. The remaining gap is failure behavior (nonexistent file, permission, non-UTF-8 content), which is not addressed anywhere.

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 already 100%, so the baseline is 3; the description goes further by adding an example path format ('notes/todo.md') and explicitly stating that absolute paths and '..' are rejected, which is real meaning beyond the schema's 'relative to the sandbox root'.

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

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

States a specific verb (read) and resource (UTF-8 text file inside the sandbox directory), which cleanly separates it from write_file/list_dir in the sibling set. It stops short of explicitly naming or contrasting a sibling, so it sits just below the top band.

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

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

Usage is only implied by the verb — nothing tells the agent when to prefer this over list_dir (to discover paths) or file_history/undo_write. The path constraints are stated, but there is no explicit when/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?

With no annotations, the description carries the burden and does disclose the key tradeoff: energy is restored at a small hunger cost, which changes agent strategy (don't spam rest). It omits cooldowns, time duration, or whether the action is reversible, but the core side effect is surfaced.

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 compact sentences: purpose and effects first, trigger condition second. No filler, nothing to trim.

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 no-param state-changing action with no annotations or output schema, the description covers what it does, its side effect, and when to call it. Only the result format / post-rest state is unstated, which is minor.

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?

Zero parameters, so there is nothing to disambiguate; the description correctly spends no words on inputs and none are 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?

States a specific verb+resource ('Let Pixel rest/recharge') and immediately names the concrete effects (restores energy, small hunger cost). It clearly contrasts with feed_bot/give_treat by being about energy rather than hunger, though it does not explicitly call out the sibling distinction.

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?

'Use when the bot is tired' gives an unambiguous activation condition. It stops short of naming when NOT to use it or pointing to alternatives (e.g., get_bot_status to check energy first), so it is clear context without exclusions.

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

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

With no annotations, the description carries the full burden and it does disclose the key mutation outcome — that the file may be deleted if the write created it. Missing are failure modes: what happens if the file changed after the write, whether repeated undos walk back further, and whether the operation errors or no-ops when nothing is undoable.

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

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

A single tight sentence with the primary action front-loaded and the default-behavior clause second. No wasted text.

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

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

For a one-optional-parameter tool with no output schema, the description covers both behavioral branches (restore vs delete) and the no-argument default. It would be complete with a note on the response or on error conditions when there is nothing to undo.

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 100% and the schema already documents that omitting path targets the last write, so the description's restatement adds little. A baseline 3 is appropriate since the schema does the parameter work.

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

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

States a specific verb (undo) and resource (a sandbox file write) and spells out both possible outcomes: restoring previous contents or deleting a file the write created. It is clearly distinguishable from read_file/write_file, though it does not address the closest alternative, file_history, for inspecting prior versions.

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

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

The phrase "Without 'path' undoes the most recent write" explains the default argument behavior, which implies when the tool applies. There is no explicit guidance on when to prefer undo over file_history for restoring state, nor any note on preconditions such as whether the write must still be the latest change.

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

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

With no annotations, the description does useful work by disclosing the overwrite-destroys-existing-content semantics and the path validation rule that rejects absolute paths and '..'. It leaves other behavioral gaps unaddressed: whether parent directories are created, whether writes are reversible via undo_write, size limits, and what (if anything) is returned.

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

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

Two tight sentences with zero filler. The core operation is front-loaded, and the path constraint follows immediately as supporting detail.

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 two-parameter write tool with no output schema, the description covers what is written, encoding, and path rules. Missing only secondary details an agent might want: return value, directory auto-creation, and interaction with the undo_write sibling.

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 100%, so both parameters are already documented. The description adds meaning beyond the schema by stating the hard constraint that absolute paths and '..' segments are rejected, which is actionable validation info the schema does not carry.

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

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

States a specific verb pair and resource ('Create or overwrite a UTF-8 text file inside the sandbox') with a concrete example of intended use (write code). It is easy to separate from siblings like read_file, undo_write, and file_history.

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?

'Create or overwrite' plus the sandbox-pathing note gives clear context for when this applies versus reading or listing files. It stops short of explicitly naming alternatives such as undo_write for reverting an overwrite or file_history for inspecting prior versions.

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