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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to describe what 'completing' entails—whether it's a read-only operation, a destructive update, requires specific permissions, has side effects, or what the expected outcome is. This leaves critical behavioral traits unspecified for a tool named 'complete_umb'.

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 wasted words. It's front-loaded and directly states the tool's action, making it highly concise and well-structured for its limited content.

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 implied by 'complete_umb' (suggesting a multi-step process) and the lack of annotations or output schema, the description is incomplete. It doesn't explain what 'UMB' is, what 'completing' it achieves, or how it relates to sibling tools, leaving significant gaps for the agent to understand the tool's role and effects.

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 has 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter details, and it appropriately avoids discussing nonexistent parameters, earning a baseline score of 4 for not introducing confusion.

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 'Completes the Update Memory Bank (UMB) process' is a tautology that restates the tool name 'complete_umb' with minimal elaboration. It specifies a verb ('completes') and resource ('Update Memory Bank process'), but lacks detail on what the UMB process entails or what 'completing' it actually does, making it vague and uninformative beyond the name itself.

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. With sibling tools like 'initialize_memory_bank', 'process_umb_command', and 'update_active_context', it's unclear what distinguishes 'complete_umb' from these related operations, leaving the agent without context for tool selection.

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 the description must disclose behavior. It only says 'Debug' without explaining what that entails—no side effects, whether it runs checks, or what output is produced. The parameter 'verbose' hints at detail but does not clarify core 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?

One concise sentence with no unnecessary words or repetition. 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?

No output schema and no description of what the tool returns or its behavior. For a debug tool, agents need to know output format and potential actions—completely 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?

Schema description coverage is 100% for the single boolean parameter, so the description need not add param info. It does not add meaning beyond the schema, yielding a baseline 3.

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 'Debug the current MCP configuration,' which is a specific verb and resource. No sibling tool has a similar purpose, so it is well-distinguished.

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 or prerequisites. While it is a standalone debug tool, context about typical scenarios (e.g., configuration issues) is missing.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'gets information', implying a read-only operation, but doesn't specify what information is returned (e.g., mode name, status, settings), whether it requires permissions, or if it has side effects like logging. For a tool with zero annotation coverage, this leaves significant gaps in understanding its 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, efficient sentence: 'Gets information about the current mode'. It's front-loaded with the core action and resource, with no wasted words. However, it could be more structured by including key details like the type of information returned, but given its brevity, it's appropriately 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 lack of annotations and output schema, the description is incomplete for understanding the tool's functionality. It doesn't explain what 'information' is returned (e.g., a mode identifier, configuration details), how it might be used in context with sibling tools, or any behavioral traits. For a tool with no structured data to rely on, the description should provide more context to be fully helpful.

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 has 0 parameters, and schema description coverage is 100% (as there are no parameters to describe). The description doesn't need to add parameter semantics beyond what the schema provides, so it meets the baseline expectation. No additional parameter information is required or provided.

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 'Gets information about the current mode' is a tautology that essentially restates the tool name 'get_current_mode'. While it clarifies the verb 'gets' and resource 'current mode', it doesn't specify what type of information is retrieved or how this differs from sibling tools like 'switch_mode' or 'debug_mcp_config'. The purpose is stated but lacks specificity and differentiation.

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. With sibling tools like 'switch_mode' (which likely changes modes) and 'debug_mcp_config' (which might inspect configuration), the description doesn't indicate scenarios where retrieving current mode information is preferred or necessary. There's no mention of prerequisites, timing, 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action ('check') without detailing what the check entails (e.g., read-only operation, potential side effects, error handling, or response format). For a status-checking tool with zero annotation coverage, this is a significant gap in 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 ('Check Memory Bank status'), consisting of a single, front-loaded sentence that directly states the tool's purpose without unnecessary words. Every part of the description earns its place by conveying the core action and target efficiently.

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 status-checking tool with no annotations and no output schema, the description is incomplete. It lacks details on what 'status' includes, how results are returned, or any behavioral context, making it inadequate for an agent to understand the tool's full scope and usage without additional inference.

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 1 parameter with 100% description coverage, documenting it as a 'Dummy parameter for no-parameter tools'. The description does not add any parameter-specific information beyond this, which is acceptable since the schema fully covers the parameter. With 0 meaningful parameters, a baseline of 4 is appropriate as the description need not 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 'Check Memory Bank status' clearly states the action (check) and target (Memory Bank status), avoiding tautology. However, it lacks specificity about what 'status' entails (e.g., operational state, usage metrics, or configuration) and does not differentiate from siblings like 'get_current_mode' or 'debug_mcp_config', which might overlap in monitoring functions.

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. With siblings like 'get_current_mode' and 'debug_mcp_config' that could relate to system status, the description fails to indicate context, prerequisites, or exclusions, leaving the agent to infer usage based on tool names alone.

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

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

With no annotations, the description must disclose side effects but only says 'Initialize a Memory Bank'. It does not mention what happens if the bank already exists, permissions needed, or any destructive potential.

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

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

The description is a single, front-loaded sentence with no wasted words. It is concise, though very brief; it could expand slightly 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?

For a simple tool with one parameter and no output schema, the description is minimally adequate. However, it lacks context about prerequisites or post-conditions, leaving some gaps for an agent.

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% with a clear description for the 'path' parameter. The tool description adds no extra semantic value beyond what the schema already provides, resulting in a baseline score of 3.

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 'Initialize' and resource 'Memory Bank', with the specific directory. It is specific enough to distinguish from sibling tools like 'set_memory_bank_path' which implies an existing bank, but does not explicitly state this 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?

No guidance is provided on when to use this tool versus alternatives like 'set_memory_bank_path' or what prerequisites exist. The description gives no context about appropriate scenarios.

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 disclose behavioral traits. It only states the action 'List Memory Bank files', failing to cover critical aspects such as whether this is a read-only operation, potential side effects, authentication needs, rate limits, or output format. This is inadequate for a tool with no annotation support, leaving the agent uninformed about its 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 at three words, with no wasted text. It is front-loaded and directly states the tool's action without unnecessary elaboration, making it efficient for quick understanding. However, this conciseness comes at the cost of completeness, but it scores high on this dimension alone.

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 annotations and output schema, the description is incomplete. It does not explain what 'List' entails (e.g., format, pagination, filtering) or how it relates to sibling tools. For a tool with no structured support, more context is needed to guide the agent effectively, making this insufficient for reliable 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?

The input schema has 1 parameter with 100% description coverage, documenting it as a 'Dummy parameter for no-parameter tools'. The description adds no parameter information, but since the schema fully covers the single parameter and it's a dummy, this is acceptable. The baseline is 3 for high schema coverage, but the dummy nature elevates it as no meaningful parameters need explanation.

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

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

The description 'List Memory Bank files' restates the tool name 'list_memory_bank_files' with minimal elaboration, making it tautological. It specifies the verb 'List' and resource 'Memory Bank files', but lacks differentiation from sibling tools like 'read_memory_bank_file' or details on scope (e.g., all files, filtered). This is a basic restatement that provides little additional insight.

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 offers no guidance on when to use this tool versus alternatives. It does not mention sibling tools such as 'read_memory_bank_file' for reading specific files or 'get_memory_bank_status' for status checks, nor does it provide context like prerequisites or exclusions. This leaves the agent without direction on appropriate usage scenarios.

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 describe behavioral traits. It fails to disclose any side effects, persistence behavior, or required state. The minimal description offers no transparency beyond the basic action.

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 at 6 words, with no wasted content. It front-loads the core purpose. However, it is so brief that it may sacrifice clarity for brevity.

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, 3 required, and no output schema, the description is insufficiently complete. It does not explain the tool's integration, output, or any contextual details needed to use it effectively.

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 covers all 5 parameters with descriptions, achieving 100% coverage. The tool description adds no additional meaning or examples beyond what the schema provides, so it meets the baseline without adding 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?

The description clearly indicates the action (log) and resource (decision/decision log), distinguishing it from sibling tools like add_progress_entry or add_session_note. However, it could be more specific about the scope and purpose of the decision 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 provides no guidance on when to use this tool compared to alternatives, nor does it mention prerequisites, limitations, or exclusions. The agent is left to infer usage from 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the migration action but lacks critical details: whether this is a destructive operation (e.g., renames files in place), requires specific permissions, handles errors, or provides progress feedback. For a tool that likely modifies file names, this omission is significant.

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 that directly states the tool's purpose without any fluff or redundancy. It is appropriately sized and front-loaded, making it easy for an agent 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?

Given the lack of annotations and output schema, and the tool's likely complexity (migrating file names), the description is incomplete. It does not explain what the migration entails (e.g., batch processing, dry-run options), potential side effects, or return values, leaving gaps for safe and effective use by an agent.

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 100% coverage with one parameter described as a 'Dummy parameter for no-parameter tools', indicating no meaningful parameters. The description does not add parameter details beyond this, but with zero functional parameters, the baseline is 4 as the schema adequately handles the dummy case without needing extra explanation in the 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 specific action ('Migrate') and resource ('Memory Bank files'), with precise details about the naming convention change ('from camelCase to kebab-case'). It distinguishes this tool from siblings like 'list_memory_bank_files' or 'write_memory_bank_file' by focusing on a migration operation rather than listing, reading, or writing files.

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, such as whether it should be run once during setup or as needed for file consistency. It does not mention prerequisites, exclusions, or related tools, leaving the agent to infer usage context from the tool name alone.

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

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

No annotations are provided, so the description carries the full burden. It only states 'Processes', implying a mutation or action, but doesn't disclose behavioral traits such as side effects, permissions needed, error handling, or what 'processing' entails operationally, leaving significant gaps.

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 wasted words, making it appropriately sized. However, it's front-loaded with minimal content, which limits its helpfulness despite being 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 no annotations, no output schema, and a vague purpose, the description is incomplete. It doesn't explain what 'processing' involves, the return values, or how it fits with siblings, failing to provide enough context 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?

The schema description coverage is 100%, with the parameter 'command' documented as 'Complete UMB command'. The description adds no additional meaning beyond this, so it meets the baseline of 3 where the schema does the heavy lifting without extra value from the 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 states the tool 'Processes the Update Memory Bank (UMB) command', which provides a basic verb+resource (process + UMB command). However, it's vague about what processing entails and doesn't differentiate from siblings like 'complete_umb' or 'update_active_context', leaving ambiguity about its specific role.

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. With siblings like 'complete_umb' and 'update_active_context' that might overlap, the description lacks context, prerequisites, or exclusions, offering no help for selection.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool reads a file, implying a read-only operation, but fails to describe critical behaviors such as error handling (e.g., if the file doesn't exist), return format (e.g., text content), permissions needed, or any side effects. This leaves significant gaps for agent 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 a single, clear sentence with zero wasted words, making it highly concise and front-loaded. It directly communicates the core purpose without unnecessary elaboration, earning full marks for efficiency.

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 annotations and output schema, the description is incomplete for a tool that reads files. It does not explain what is returned (e.g., file content as text), error conditions, or how it interacts with the Memory Bank system. For a read operation with no structured output documentation, more context is needed to guide the agent effectively.

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 100% description coverage, with the 'filename' parameter fully documented in the schema. The description does not add any semantic details beyond what the schema provides (e.g., file naming conventions, supported extensions, or path structure). Baseline 3 is appropriate as the schema handles parameter documentation adequately.

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 ('Read') and resource ('a file from the Memory Bank'), making the purpose immediately understandable. However, it does not explicitly differentiate from sibling tools like 'list_memory_bank_files' or 'write_memory_bank_file', which would require mentioning it retrieves file content rather than metadata or performs a read-only operation versus writing.

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. It does not mention prerequisites (e.g., files must exist), exclusions, or comparisons to siblings like 'list_memory_bank_files' for browsing or 'write_memory_bank_file' for modifications, leaving usage context unclear.

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 must disclose all behavioral traits. It only states 'Set' without indicating persistence, scope (global vs. session), side effects (e.g., overriding existing path), or any required prior steps. This is insufficient 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 short (one sentence). While concise, it lacks structure or additional detail that would improve usability. It is not wasteful but 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 tool's simplicity (1 optional param, no output schema), the description still fails to cover behavioral aspects like what happens if the path is invalid, whether it persists, or how it interacts with other memory bank operations. The context is incomplete for agent decision-making.

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 100% coverage (one parameter documented). The description adds the word 'custom' but otherwise does not enhance understanding beyond the schema's description. Baseline 3 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 action ('Set') and resource ('custom path for the Memory Bank'). It distinguishes from siblings like 'initialize_memory_bank' and 'get_memory_bank_status', though it could be more precise about what 'path' entails.

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, such as 'initialize_memory_bank' for initial setup or 'select_store' for store selection. It implies it is used to change the path but does not explain 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?

With no annotations provided, the description carries the full burden of behavioral disclosure but offers almost none. 'Switches to a specific mode' implies a state change, but it doesn't describe what effects this has (e.g., does it alter system behavior, require permissions, have side effects like resetting other states, or provide feedback?). It lacks details on success/failure conditions, response format, or any behavioral traits, making it inadequate for a mutation 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?

The description is extremely concise with just one sentence, 'Switches to a specific mode', which is front-loaded and wastes no words. However, this brevity borders on under-specification, as it lacks necessary detail for a tool that likely performs a state mutation. While efficient, it could benefit from additional context to earn a higher score.

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 mode-switching tool (likely a state mutation with no annotations and no output schema), the description is severely incomplete. It doesn't explain what 'mode' entails, what happens after switching, potential errors, or how it interacts with sibling tools. For a tool that may change system behavior, this minimal description fails to provide the context needed for safe and 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?

The description adds no parameter semantics beyond what the input schema provides. The schema has 100% description coverage, with the 'mode' parameter clearly documented as 'Name of the mode to switch to (architect, ask, code, debug, test)'. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract from the schema's completeness.

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 'Switches to a specific mode' is a tautology that essentially restates the tool name 'switch_mode' without adding meaningful specificity. It mentions the action 'switches' and the resource 'mode', but fails to clarify what 'mode' means in this context or what the tool actually accomplishes beyond the literal interpretation of its name. Compared to siblings like 'get_current_mode' or 'update_active_context', it doesn't distinguish its purpose clearly.

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. It doesn't mention any prerequisites, context for switching modes, or refer to sibling tools like 'get_current_mode' (which might be used before switching) or 'update_active_context' (which might be related). There's no indication of when this tool is appropriate or what scenarios it's designed for, leaving the agent with no 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 must fully disclose behavior. It mentions updating Memory Bank files but does not specify which files, the effect of updateActiveContext, or whether the operation is destructive.

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 very concise (6 words), but it sacrifices clarity for brevity. It is not 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?

Given no annotations, no output schema, and 3 parameters, the description is insufficient. It does not provide enough context for an agent to understand the tool's role in the memory bank workflow.

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%, so the baseline is 3. The description adds no extra meaning beyond what the schema already provides.

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 'Track progress and update Memory Bank files' provides a general purpose but lacks specificity. It does not clearly differentiate from sibling tools like add_progress_entry or update_tasks.

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 such as add_progress_entry or add_session_note. The description does not mention prerequisites or exclusions.

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

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

With no annotations, the description must convey behavioral traits. It fails to disclose whether updates are destructive, append vs. replace, or require any prerequisites. The single sentence offers no behavioral insight beyond the action.

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?

At only 5 words, the description is extremely terse. While concise, it omits necessary details, making it under-specified rather than 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 has 3 optional parameters and no output schema, the description should explain how parameters relate, default behavior, and the concept of 'active context'. It provides none of this, leaving the agent underinformed.

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?

All three parameters (tasks, issues, nextSteps) have descriptions in the schema (100% coverage). The description adds no additional meaning beyond what the schema already provides, so baseline 3 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 states the tool updates the 'active context file', providing a verb and resource. However, it lacks specificity about what fields are updated (tasks, issues, nextSteps) and does not differentiate from sibling tools like 'update_tasks', which may have overlapping 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?

No guidance is provided on when to use this tool versus alternatives (e.g., update_tasks, add_progress_entry). The description offers no context for appropriate invocation.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the write operation but doesn't cover critical aspects like permissions required, whether it overwrites existing files, error handling, or side effects. This is inadequate for a mutation 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?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.

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 this is a write operation with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits, error conditions, or what happens on success/failure, leaving significant gaps for a mutation tool in a context with multiple sibling tools.

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

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

Schema description coverage is 100%, so the schema fully documents both parameters ('filename' and 'content'). The description adds no additional meaning beyond what the schema provides, such as file format expectations or content constraints, meeting the baseline for high 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?

The description clearly states the action ('Write') and target resource ('Memory Bank file'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'read_memory_bank_file' or 'list_memory_bank_files' beyond the basic operation type, missing explicit 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?

The description provides no guidance on when to use this tool versus alternatives. There are no mentions of prerequisites, when-not-to-use scenarios, or comparisons with sibling tools like 'update_active_context' or 'log_decision' that might handle related operations.

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