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

With no annotations provided, the description must fully disclose behavior. It states the thread is 'hidden from default thread lists,' but does not clarify if the action is reversible, whether the thread remains accessible by key, or if it impacts other operations. This leaves significant gaps for an 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 a single, well-written sentence of 14 words. It avoids redundancy and is front-loaded with the action. However, it sacrifices necessary detail for brevity, missing behavioral and parameter 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 (one parameter) and existence of an output schema (not shown), the description is still incomplete. It omits critical context such as return values, side effects, and when not to use the tool. An agent lacks sufficient information to use it correctly without external knowledge.

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 'thread_key' has zero schema description coverage (0%). The description adds no additional meaning, leaving the agent to infer the parameter's format, source, or constraints. The name alone is insufficient for reliable invocation.

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 ('Archive'), identifies the resource ('local WorkThread'), and states the effect ('hidden from default thread lists'). This distinguishes it from siblings like close_work_thread and create_work_thread, making the tool's 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?

The description provides no guidance on when to use this tool versus alternatives (e.g., close_work_thread or delete_context). There is no mention of prerequisites, typical use cases, or when not to archive.

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

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

No annotations are provided, so the description must fully convey behavioral traits. It states 'when active coordination is finished' but does not disclose what happens after closing (e.g., thread destruction, side effects, or whether it can be reopened). The description lacks necessary details for an agent to anticipate consequences.

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, consisting of a single sentence that front-loads the verb and resource. However, it sacrifices depth for brevity; important behavioral and contextual details are omitted, making it less balanced.

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 parameter, no nested objects, output schema present), the description still falls short. It does not explain the distinction between closing and archiving (sibling 'archive_work_thread'), nor does it describe return behavior or error conditions. An output schema exists but is not referenced.

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

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

The input schema has 0% description coverage, and the description adds no information about the 'thread_key' parameter. While the parameter name is self-explanatory, the description fails to clarify its format, origin, or required state, leaving the agent with minimal guidance beyond the schema's basic type constraint.

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 indicates the action ('Close') and the resource ('local WorkThread'). It also provides context ('when active coordination is finished'), which helps differentiate from sibling tools like 'archive_work_thread' and 'get_work_thread'. However, 'active coordination' is somewhat vague, leaving room for interpretation.

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 such as 'archive_work_thread' or 'close_work_thread' vs other cleanup operations. No prerequisites or post-conditions are mentioned, leaving the agent to infer proper 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?

With no annotations, the description carries full burden. It mentions creation but does not disclose side effects, permissions, error conditions (e.g., duplicate thread_key), or what "local" implies for persistence or sharing. The behavioral details are insufficient.

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 (two sentences) with no redundant information. However, it sacrifices necessary detail for brevity, which limits its usefulness.

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 (6 parameters, no annotations, no parameter descriptions), the description is far from complete. It lacks essential input guidance, though the output schema existence partially covers return values.

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 any of the 6 parameters (thread_key, title, project, etc.). The agent receives no guidance on what each parameter means or how to use them, leaving a significant gap.

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

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

The description clearly states the verb ("Create") and resource ("local WorkThread") and its purpose ("multi-agent coordination"). It also distinguishes WorkThread from WorkBaton, though not from sibling thread tools like archive or close.

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

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

It gives partial guidance: use WorkThreads for active shared work and WorkBaton for compact resumes. However, it does not explicitly state when not to use this tool or how to choose among sibling tools like archive_work_thread or close_work_thread.

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

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

No annotations are provided, so the description must disclose all behavioral traits. It only states the action, omitting crucial details such as whether deletion is permanent, what happens if the slot doesn't exist, or side effects on current 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, clear sentence with no wasted words. It is appropriately short for a simple tool, though could benefit from more detail without losing 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?

Despite having an output schema, the description lacks behavioral context. The tool is destructive with no safety cues, and the single parameter is poorly described. Completeness is inadequate for safe agent 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?

The schema description coverage is 0%, yet the description adds no extra meaning beyond the parameter name 'slot_name'. No guidance on valid values, format, or behavior of the 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 action ('Delete') and the resource ('context slot'), with the modifier 'manually' adding subtle distinction from automated processes. It effectively distinguishes from sibling tools like list_contexts, load_context, and save_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?

No guidance on when to use this tool versus alternatives like delete_work_stash. No mention of prerequisites, when not to use, or context for manual deletion.

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

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

No annotations are provided, so the description must disclose behavioral traits. It only mentions deletion without specifying idempotency, effects, error handling, or if the operation is irreversible. This leaves significant gaps for an AI 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 extremely concise with two sentences. The first sentence states the action and object, the second adds usage context. Every sentence serves a purpose 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?

While the output schema exists (implied), the description covers the basic usage scenario. However, it lacks details on deletion behavior, error states, and edge cases. For a simple tool, it is marginally adequate but not comprehensive.

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, 'entry_key', has 0% schema description coverage. The description merely says 'by key' without adding format, constraints, or examples. 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 clearly states the action 'Delete a WorkStash entry by key' and the resource. It distinguishes from sibling tools like 'store_work_stash' and 'get_work_stash' by specifying the delete action and the condition for use.

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 context: 'Call this when a task is complete and the stored data is no longer needed.' It doesn't explicitly mention when not to use it, but the guidance is clear enough 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?

Describes the tool's explanatory function, including topics like encryption and coordination boundaries. With no annotations, the description adequately conveys that this is a read-only, informative tool.

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

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

Two well-structured sentences with front-loaded 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?

Given the complexity of A2CR flows and the presence of an output schema, the description covers key aspects (handoff, memory, collaboration) sufficiently for agent 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?

No parameters exist; baseline 4 is appropriate as the description adds no redundant parameter 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 clearly identifies the verb 'Explain' and resource 'A2CR's MCP flows', distinguishing it from sibling tools that perform actions like delete, get, list, or save.

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?

States 'before choosing tools' and 'Use this when you need to understand...', providing clear context for when to invoke. No explicit exclusions, but guidance is strong.

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 provided, but the description indicates a read-only operation ('Return') without side effects, which is appropriate for this simple query tool.

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

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

Two succinct sentences with no redundancy, front-loading the purpose and providing contextual guidance.

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 parameters and an output schema, the description adequately lists the covered limits and usage context, leaving 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?

No parameters exist, so description doesn't need to add parameter details; baseline 4 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?

Description explicitly states 'Return' limits for specific resources (Slots, retention, etc.), and no sibling tool names suggest similar functionality.

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?

Advises using the tool 'before automatic or large saves', giving clear context for when it's useful, though doesn't explicitly state 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?

No annotations provided, so description carries full weight. It discloses that output is Markdown-formatted and intended for pasting, but does not mention if the tool has side effects, requires authentication, or behaves differently based on slot existence.

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 that state purpose and usage context. Front-loaded with key information.

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

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

For a simple one-parameter tool with an output schema, the description provides core purpose and usage context. However, it omits explanation of the parameter and details about the output format, relying on the 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?

The single parameter 'slot_name' has no description in the input schema (0% coverage), and the description does not explain what slot_name refers to or how to use it.

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 returns a Markdown-formatted handoff text for pasting into a new AI window. The verb 'get' and resource 'handoff' are specific. Differentiated from siblings: none of the other tools (delete_context, list_work_stash, etc.) serve a similar handoff 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?

Explicitly advises use when switching models or starting a fresh conversation. Does not provide exclusions or alternatives, but the context of sibling tools implies other tools for stash/context management.

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?

Without annotations, the description adds crucial behavior: 'The value is decrypted locally using your A2CR client key.' This informs the agent about security and local processing. It implies a read-only operation but doesn't cover 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 sentences with no waste. The first sentence clearly states the core purpose, and the second adds essential usage guidance. Perfectly 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 simple tool with one parameter and an output schema, the description covers purpose, usage context, and a key behavioral trait (decryption). It does not discuss error handling or sibling differentiation, but that is acceptable for this 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?

The schema has no parameter descriptions (0% coverage). The description adds meaning by stating retrieval 'by its key', indicating the entry_key is the identifier. This compensates for the lack of schema description, though it could be more explicit about valid key formats.

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 'Retrieve' and the resource 'a value from WorkStash by its key'. It distinguishes from sibling tools like store_work_stash (opposite) and list_work_stash (list).

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 provides explicit context: 'Use this after loading a WorkBaton that references a WorkStash entry_key, and retrieve only entries needed to continue the task.' This tells the agent when to invoke the tool, though it doesn't mention when not to or compare to 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?

Discloses key behavioral traits: responses include recent messages and long bodies are truncated. With no annotations, this covers important behavior. Could add info about error handling or auth, but sufficient for a read operation.

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. First sets purpose, second adds behavioral details and alternatives. No redundancy or extra 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 an output schema present, return value explanation is unnecessary. Description covers core behavior and usage context. Slight lack of clarity on 'local' but acceptable.

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 description should explain params. It does not mention thread_key, message_limit, or include_messages. However, param names are intuitive. Minimal added value.

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 loads a local WorkThread, with specific behavior (returns recent messages, truncates long bodies). It differentiates from siblings by mentioning alternatives (WorkBaton, future UI) for different use cases.

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 tells when to use: for recent messages from a WorkThread. Also says when not: use WorkBaton for compact handoff and future UI for full conversation. Provides clear context and 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?

No annotations provided; description only states it lists active slots with expiry and sizes. Does not disclose potential behaviors like empty response, pagination, or permission requirements.

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-loaded with key info, 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?

No parameters, output schema exists, low complexity. Description adequately covers what the tool does and what it returns.

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 in schema, so description adds meaning by specifying what is listed (active slots, expiry, sizes). Baseline 4 for 0 params 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?

Describes a specific action (list) on a specific resource (active context slots) with details (expiry times, sizes). Clearly distinguishes from sibling tools like delete_context or save_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?

Implies use when wanting to see active contexts, but no explicit when-to-use or when-not-to-use guidance. No mention of alternatives 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?

With no annotations, the description appropriately discloses that only metadata is returned and values are not, and hints at a non-destructive read operation, though pagination or limits are not mentioned.

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, front-loaded sentences that efficiently communicate the tool's purpose, behavior, and use case without extra 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 the existence of an output schema, the description adequately covers the tool's functionality, including the metadata-only nature and quota-checking use, making it complete for a list operation.

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

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

The description explains the single parameter tag_filter as optional filtering, adding meaning beyond the schema's type definition, though it omits format details.

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

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

The description clearly states the tool lists WorkStash entries, returns only metadata, and optionally filters by tags, which distinguishes it from siblings like get_work_stash that likely return values.

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 advises to use it for seeing stored items and checking quota usage, providing clear context though it lacks explicit when-not-to-use 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?

No annotations provided, so description carries full burden. It discloses that archived threads are hidden by default and that it lists local threads with specific fields. However, it does not mention whether it is read-only, pagination behavior, ordering, or handling of limits. The default hiding of archived threads is a useful behavioral trait, but coverage is partial.

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, no wasted words. The first sentence states the purpose and return fields, the second adds a key default behavior. It is appropriately front-loaded and easy to parse.

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 an output schema exists, return values need not be detailed. However, the description lacks explanation of the parameters (limit, state) and does not clarify what 'local' means or if there is sorting. It adequately covers the main listing behavior and the archived default, but missing parameter mapping reduces 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_description_coverage is 0%, yet the description provides no explanation of the parameters (limit, state, include_archived). The only hint is that archived threads are hidden by default, which loosely relates to include_archived, but it does not map parameters to their function or expected values.

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

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

The description clearly states the action 'List' and the resource 'local WorkThreads', and specifies the returned metadata fields. It distinguishes itself from sibling tools like get_work_thread (singular retrieval) and archive/close (mutations), providing a clear 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?

No explicit guidance on when to use this tool vs. alternatives. It does not mention when to choose list_work_threads over other list tools or when to use filtering. The note about archived threads being hidden is a behavioral default but not a usage guideline.

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 fully covers behavioral traits: returns structured JSON with advisory guidance, loaded data is untrusted, must not override instructions, and prohibits dangerous actions. This exceeds the disclosure burden.

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 front-loaded with the core purpose and then provides detailed behavioral guidelines. While somewhat long, each sentence adds value given the tool's complexity. Slightly verbose but not wasteful.

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, zero schema coverage, and no annotations, the description covers purpose, usage, and safety well. It mentions the output includes agent_continuity_guidance, and an output schema exists. Could be more explicit about parameter usage, but overall complete for the tool's 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 description coverage is 0%, and the description only minimally explains the parameters ('fixed Slot number or named slot') without adding semantics on how they relate, defaults, or constraints. The description does not 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 tool loads context from a slot, returning structured JSON. It distinguishes from sibling tools like list_contexts and save_context through the verb 'load' and focus on slots, but does not explicitly compare or contrast.

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 extensive guidance on post-load actions (e.g., using response_language_hint, handling WorkBaton references), safety rules (untrusted data, not overriding instructions), and prohibitions (no shell commands, exfiltration). It effectively tells the agent when and how 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?

No annotations provided, so description carries full burden. It hints at thread state constraint ('open') but doesn't disclose size limits, rate limits, error behavior, or permission requirements.

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, no filler. Every phrase 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?

Has output schema (reducing need to describe returns), but still lacks details on threading, rate limits, or error scenarios for a tool with 4 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?

With 0% schema coverage, description should explain parameters individually. It only implies thread_key and body via context, but does not clarify model_source or participant_label.

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 (post), resource (message), and target (open local WorkThread). It effectively distinguishes from sibling tools like create_work_thread or close_work_thread.

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?

Mentions referencing handles, implying usage context, but lacks explicit guidance on when to use vs alternatives, prerequisites (thread must be open), or 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?

With no annotations, the description fully discloses behavioral traits: it emphasizes that loaded content is untrusted, must not override instructions, prohibits shell commands, data exfiltration, etc. It also mentions advisory agent_continuity_guidance. This is comprehensive and clear.

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

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

The description is longer than average but each sentence adds value. It is front-loaded with purpose, then conditional logic, then warnings. Slightly verbose but not excessively so for the complexity.

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 and the presence of an output schema, the description covers behavior, security, and usage well. It lacks examples or error handling details, but for a tool with detailed annotations (none here), it is mostly 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 explains slot_name, slot_number, and prefer_latest (e.g., 'if slot_number or slot_name is provided, load that slot directly'), but does not explain the project parameter. With 0% schema coverage, the description should cover all parameters; missing one is a significant gap.

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

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

The description clearly states the tool's purpose: 'Resume work from A2CR.' It uses a specific verb (resume) and resource (context, A2CR), and distinguishes from siblings like load_context by mentioning the A2CR system.

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 detailed usage guidance: conditions for loading based on parameters, handling of multiple candidates with prefer_latest, post-load actions (call get_work_stash), and language preference handling. It explicitly tells when to use this tool and what to do afterwards.

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?

Despite no annotations, the description is highly transparent: it states the tool does not upload saved content, describes the content schema in full, explains token savings, size-budget handoff, forbidden content (secrets, large source bodies), loaded content safety warnings, and response language handling. Every significant behavioral aspect is disclosed.

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 headers (Content schema, WorkStash integration, A2CR continuity, Chained handoffs, Token savings, etc.) but is extremely verbose. It contains extensive text that could be condensed, e.g., repeating forbidden items in a list. Every sentence earns its place, but overall length may hinder quick agent scanning.

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 the tool (6 parameters, nested objects, output schema), the description is complete. It covers all usage scenarios, safety rules, integration with sibling tools, and provides a full content schema. No gaps remain for an 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?

The input schema has 0% description coverage, but the description compensates fully. It defines every key in the 'content' object with type and purpose (e.g., 'goal (required str) - What we're trying to achieve'). It also explains optional parameters like original_length, preferred_response_language, slot_number, and model_source in context. Added meaning is substantial.

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 explicitly states 'Save conversation context to A2CR' and distinguishes this tool from siblings like store_work_stash by explaining that it is the resume entrypoint, while WorkStash is temporary supporting memory. The verb 'Save' paired with specific resource 'context to A2CR' provides a clear 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?

Provides explicit autonomous usage triggers: 'when conversation is getting long', 'task phase complete', 'context window pressure'. Also covers deferred-tool client fallback, when to save after loading a Slot, and guidance on when to use WorkStash instead. Includes what to do after saving (show user_facing_summary vs resume_prompt).

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 that local mode returns compact snippets and handles, and advises loading a specific record for full content. No annotations exist, so description carries burden. Lacks details on auth, rate limits, or side effects, but adequate for a read-only search.

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

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

Two concise sentences, front-loaded with verb and resource, no fluff. 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 10 parameters with no schema descriptions, the description is too brief to fully inform usage. It states output nature but lacks parameter guidance and constraints (e.g., date format). Output schema exists, partially compensating.

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 10 parameters with 0% description coverage, yet the description adds no explanation for any parameter (e.g., tag, slot, query). The agent must infer from names alone, which is insufficient.

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 explicitly states it searches across multiple workspace record types (WorkBaton, WorkStash, WorkThreads, event metadata), clearly distinguishing it from sibling tools like list_contexts or load_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?

Provides clear guidance: use for searching local records, and load_context for full content. Does not explicitly exclude other tools, but the context (sibling list) implies 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?

No annotations provided, so description must fully disclose behavior. It claims both advisory (returns recommendations) and mutative (can save) capabilities without clarifying side effects. This contradiction undermines transparency; the agent cannot determine if calling this tool modifies state.

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, concise and front-loaded with core purpose. However, the ambiguous saving capability could be clarified without adding length.

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 tool with 7 undocumented parameters and an output schema not shown, the description is too brief. It omits parameter semantics, behavioral clarity, and differentiation from similar siblings like 'save_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% for 7 parameters, and the description provides no parameter information at all. The agent has no guidance on what to provide in fields like reason, project, etc.

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's an 'Advisory policy check' for WorkBaton saves and lists what it returns. However, the phrase 'can save WorkBaton content' introduces ambiguity about whether it performs saves or only advises. It is distinct from siblings like 'save_context' but not explicitly differentiated.

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 implied as deciding when to save a WorkBaton checkpoint, but no explicit guidance on when to use vs alternatives (e.g., 'save_context'). No when-not-to-use or precondition information.

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 disclosure burden. It states the tool returns a recommendation with quota status, implying no side effects. However, it does not explicitly confirm it is read-only or describe what the recommendation structure includes. The 'advisory check' language sufficiently hints at non-destructive 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 a single paragraph that front-loads the purpose. It includes helpful lists of examples, but these add length. Overall it is reasonably concise for the information conveyed, though it could be broken into shorter sentences for clarity.

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

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

For a simple advisory tool with an output schema (not shown), the description covers the core purpose, usage guidelines, and typical content types. It lacks detail on the recommendation format or error conditions, but these may be provided by the output schema. The absence of annotations is partially compensated by the clear usage guidance.

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

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

The input schema has 0% description coverage, meaning no parameter descriptions are provided. The tool description does not mention the parameters 'reason' or 'estimated_size_bytes' or explain how they affect the recommendation. The agent must infer purpose solely from the schema names, which is insufficient.

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 is an 'Advisory check' for deciding whether to store in WorkStash. It distinguishes itself from the sibling tool 'store_work_stash' by being a decision aid rather than an action. The verb 'should_use_work_stash' matches the advisory function.

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 'Use this when deciding whether to proactively use WorkStash.' It provides examples of good candidates and unsuitable content, offering clear guidance on when to use this tool versus alternatives. It also advises on what to do if storing (record the entry_key).

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

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

With no annotations, the description carries the full burden. It discloses that the value is stored locally in a SQLite workspace and not uploaded, and advises deleting entries to free quota. However, it does not mention idempotency or overwrite behavior for duplicate entry_key, nor the response format (though an output schema exists). Overall, it provides substantial 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 information-dense but somewhat verbose. It includes a long list of prohibited content types and repeats 'WorkBaton'. While every sentence adds value, it could be tightened for brevity without losing meaning.

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 (4 parameters, output schema exists), the description covers usage context, storage behavior, and cleanup, but lacks explicit parameter documentation. The output schema may compensate, but the description alone is not fully complete.

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

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

Schema description coverage is 0%, so the description must compensate. It mentions entry_key and value implicitly but does not describe them in detail. Optional parameters tags and project are not explained at all. The description focuses on usage rather than parameter semantics, leaving gaps for the agent.

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: 'Store a value in WorkStash — the WorkBaton temporary work memory.' It uses a specific verb (store) and resource (WorkStash), and distinguishes from siblings by mentioning proactive use during long-running project work and referencing related tools like get_work_stash and delete_work_stash.

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 guidance on when to use the tool (proactively during long-running project work without waiting for user prompt), what to store (e.g., API response specs, intermediate results), and what not to store (secrets, personal data, etc.). It also directs agents to use get_work_stash for retrieval and delete_work_stash when done, offering clear alternatives.

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