Palim

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

Annotations already declare readOnlyHint=false, indicating a write operation, and description is consistent. The description adds that the memory is stored 'for later retrieval,' which is more purpose than behavior. No additional behavioral details such as duplicate handling or persistence guarantees are disclosed, but annotations cover the safety profile.

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

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

A single sentence that is front-loaded with the action and resource. Every word is necessary, with no redundant information.

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

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

Given the rich input schema and existing annotations, the description is adequate for a simple write operation. However, it lacks usage differentiation from related tools and does not address idempotency or side effects beyond what annotations already provide. Acceptable but with notable 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?

Input schema provides 100% coverage with detailed descriptions for all five parameters. The description loosely mentions memory types (fact, decision, preference) which partially maps to the type enum but omits 'insight' and 'note.' No additional parameter semantics 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 clearly states 'Store a memory, fact, decision, or preference for later retrieval,' using the specific verb 'store' and resource 'memory.' The tool name includes 'add' which implies creation, distinguishing it from sibling tools like palim_update_memory and palim_delete_memory.

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

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

No guidance is provided on when to use this tool versus related tools. It does not mention that this is for creating new memories, while palim_update_memory modifies existing ones and palim_delete_memory removes them. There are no exclusions or alternative tool references.

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

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

Annotations already establish that this is a write operation (readOnlyHint=false) and non-destructive. The description adds the purpose 'personalized guidance' but does not detail side effects such as whether the rule takes effect globally or how duplicates are handled. With annotations present, this is acceptable but not rich.

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

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

The description is a single sentence, under 15 words, front-loaded with the action. No wasted words, and the parenthetical adds useful context without bloating.

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

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

The tool is a create operation with side effects (openWorldHint=true), and the description should ideally say more about how the rule affects future AI behavior. However, the schema and annotations fill in many gaps, and the description's 'personalized guidance' gives a clue. Overall, it is minimally viable but lacks deeper 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?

All five parameters are fully documented in the input schema (100% coverage), so the description does not need to repeat them. The description adds only a general semantic hint about rule types, not specific parameter details, matching the baseline for full 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 uses a specific verb 'Add' and resource 'user rule', with the parenthetical '(workflow/delegation/hints)' clarifying scope. This clearly distinguishes it from sibling tools like update_user_rule, delete_user_rule, and list_user_rules.

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

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

The description gives no explicit guidance on when to choose this tool over alternatives such as update_user_rule or delete_user_rule. Usage is only implied by the verb 'Add' and the tool's name, which is sufficient but not explicit.

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

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

Annotations already cover idempotency and non-destructiveness. The description adds valuable behavioral context beyond annotations: plaintext columns are left untouched, completion is per field, and re-running fills only what is missing. This meaningfully helps the agent understand side effects.

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

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

Three sentences, each earning its place: the first states the action and inputs, the second explains safety/re-runnability, and the third gives a concrete preview tip. It is front-loaded and free of fluff.

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

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

The output schema exists and all parameters are documented in the schema. The description covers purpose, migration context, additivity, and dry-run usage, which is sufficient for safe invocation. A minor gap is the lack of explicit prerequisites or return behavior, but the output schema mitigates this.

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 already documents all three parameters. The description adds a usage tip for dry_run and explains which plaintext sources are used, but it does not add substantial meaning beyond the schema for force or scope. 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 names the specific action 'Populate the blind index columns' and identifies the migration (024) and source fields. This clearly scopes the tool and distinguishes it from sibling backfill tools like palim_backfill_brain, even though it doesn't explicitly name an alternative.

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

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

The description gives clear context: it is additive, re-runnable, and per-field. It also recommends 'Use dry_run=true to preview,' which is practical guidance. It does not explicitly state when not to use it or name an alternative tool, so it stops short of a 5.

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

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

Annotations already indicate idempotentHint and destructiveHint. Description adds valuable operational detail: 'Safe to run more than once — already-distilled sessions are deduped, not duplicated' and 'using each session's already-stored summary,' going beyond generic hinting.

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, front-loaded with the purpose ('One-time catch-up: distill...'), followed by safety and usage context. Every sentence earns its place with no redundancy.

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

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

Given the tool's simple surface (one optional param, output schema present), the description covers purpose, trigger scenario, and safety. It could mention the sibling blind-index backfill, but the 'Brain' context sufficiently differentiates it.

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

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

Schema coverage is 100% for the single optional 'limit' parameter with its own description. The description adds no additional param context, but the schema carries the meaning, 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?

Description uses specific verb 'distill' and identifies target resource 'knowledge profile' and source 'sessions saved before the Brain existed.' It clearly differentiates from sibling palim_backfill_blind_index by focusing on the Brain's knowledge profile and using existing summaries.

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 an explicit trigger scenario: 'Use when a user with existing saved sessions asks why palim_get_brain / the dashboard Brain tab looks empty despite having saved sessions.' However, it does not explicitly discuss when not to use it or mention the alternative palim_backfill_blind_index for other backfill tasks.

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

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds that output is machine-readable JSON and targets UI/browser, but does not elaborate further on return format, pagination, or filtering behavior. This is acceptable given the annotations and output schema, but additional context could improve transparency.

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

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

Two concise sentences with no wasted words. The key information (machine-readable JSON, UI/browser purpose, sibling alternative) is front-loaded and directly stated.

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

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

For a simple read-only listing tool with three optional parameters and an output schema, the description is sufficiently complete. It covers output format and usage context, and annotations cover safety. Minor gap is not describing pagination/limit behavior explicitly, but the schema already documents the limit parameter.

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

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

The input schema provides full descriptions for all three parameters (limit, project, tool_source), so schema coverage is 100%. The description adds no extra parameter-specific meaning, but the schema itself is sufficient. Baseline of 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 tool browses sessions and returns machine-readable JSON, distinguishing it from palim_list_sessions which provides human-readable output. The resource (sessions) and verb (browse) are clear, though 'browse' is slightly generic without specifying whether it returns all sessions or supports filters.

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 mentions 'For UI/browser' to indicate the intended use case and directly names palim_list_sessions as the alternative for human-readable output. This provides clear guidance on when to use this tool versus a sibling.

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?

Annotation contradiction: destructiveHint is false (indicating non-destructive operation), but the schema's max_listed parameter explicitly states 'the removal is irreversible'. The description adds valuable conservative-behavior context, but the contradiction overrides and makes transparency score 1.

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

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

The description is three sentences long, front-loaded with the action, and every sentence adds value—purpose, safety behavior, and a direct usage recommendation. No fluff or repetition.

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

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

The description covers the main purpose, conservative filtering behavior, and provides a dry-run safety tip. An output schema exists, so return values are covered. It slightly lacks explicit when-not-to-use guidance, but for a cleanup tool this is 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 description coverage is 100%, with detailed parameter descriptions for limit, dry_run, max_listed, and vocabulary_threshold. The main description adds no additional parameter semantics 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 clearly identifies the action ('Remove'), the resource ('tag noise'), and the origin ('left by the old auto-tagger'), making its purpose unambiguous and distinct from sibling tools like delete_session or update_session_metadata.

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

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

Provides explicit usage guidance by recommending 'dry_run=true to review the removal list first' and explaining the tool's conservative nature. It does not explicitly mention alternatives, but the context is clear enough for an agent to know when this tool fits.

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

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

Annotations already indicate readOnlyHint=false (write operation) and destructiveHint=false. The description adds that the tool returns a URL with a token and usage instructions, and scopes to the current user, but does not disclose side effects like token persistence or multiple connections. With annotations covering the safety profile, this is adequate.

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-structured sentence that front-loads the action and resource, provides a concrete example of the returned URL, and mentions usage instructions. 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 simple tool (one optional parameter, output schema exists), the description covers the essential return value and purpose. It does not detail the full output schema, but that is provided by the output schema itself. The description is sufficient for an agent to decide and invoke correctly.

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

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

The input schema has 100% coverage for the single optional 'name' parameter, which is described with 'Optional display name for the connection token (for later management/analytics).' The description does not add any additional parameter-specific semantics, 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 uses a specific verb ('Create') and resource ('URL-based connection for the current user'), and clearly distinguishes what it returns (a full MCP server URL with a short token and usage instructions). None of the sibling tools perform this function, so the purpose is unambiguous.

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

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

The description clearly states the context (for the current user) and what the output is, but does not explicitly mention exclusions or alternatives. However, given the unique purpose among siblings, the intended usage is well implied.

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

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

The description discloses the precondition that the session does not yet have a summary. It does not specify behavior if a summary already exists (e.g., error, overwrite, or duplicate). Annotations already cover readOnly/destructive status, so the description adds some but not rich context.

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

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

The description is a single sentence that conveys the action, target, and condition with no filler. It is front-loaded and every word earns its place.

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

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

The simple create operation is adequately specified by the description plus rich schema, annotations, and output schema. It lacks a note about how optional structured fields relate to summary_text or how existing summaries are handled, but the core invocation is clear.

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

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

Input schema has 100% coverage, describing session_id, summary_text, and optional arrays. The description adds no parameter-level meaning beyond the schema, so the baseline of 3 applies.

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

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

The description uses a specific verb 'Create' with resource 'summary for a session' and adds the condition 'that does not have one yet.' This clearly distinguishes it from retrieval tools like palim_get_summary and palim_list_summaries, and from update tools like palim_update_session_metadata.

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

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

It states the tool is for sessions lacking a summary, providing a clear usage context. However, it does not explicitly name alternatives for existing summaries or mention when not to use it, so it stops short of full when/when-not guidance.

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

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

Beyond the destructiveHint annotation, the description adds 'cannot be undone' and 'permanently', which communicates irreversibility. It also specifies what is affected ('one stored memory by ID'). No contradictions with annotations.

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

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

Two short sentences deliver the action, usage context, and warning with no redundant wording.

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 destructive operation, the description covers purpose, usage, and consequences. Annotations provide destructive and idempotency hints, and an output schema exists, so no additional return-value documentation is needed.

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 already fully describes memory_id with 100% coverage. The description echoes 'by ID' but adds no additional format, constraints, or examples beyond the schema.

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

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

The description explicitly states the action ('Permanently delete'), resource ('stored memory'), and method ('by ID'), clearly distinguishing it from sibling deletion tools like palim_delete_session and palim_delete_user_rule.

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 usage context ('Use for user-requested cleanup or deletion') and a caution ('this cannot be undone'), but does not explicitly list when-not-to-use scenarios or name alternative tools.

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

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

Annotations already mark destructiveHint=true and idempotentHint=true, and the description adds valuable nuance by stating the deletion is reversible by default and only permanent when hard_delete=true. This goes beyond the annotation flags and clarifies what data is affected, a significant behavioral disclosure.

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

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

The description is two short, front-loaded sentences with no redundancy. Every phrase earns its place, efficiently conveying the core action and the critical soft/hard delete distinction.

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 delete operation, the schema fully covers parameters, annotations cover safety and idempotence, and an output schema exists, the description is sufficient to guide correct invocation. It adds the key contextual differentiator (soft vs hard) without requiring further explanation.

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

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

Schema coverage is 100%, so both parameters are fully documented in the input schema. The description adds minimal extra semantic value; it reiterates the hard_delete default behavior already present in the schema without introducing new parameter-specific insights.

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 'Delete a chat session' with a specific verb and resource, clearly distinguishing it from sibling tools like palim_delete_memory and palim_delete_user_rule. The scope is unambiguous and immediately actionable.

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

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

The description explains the default soft-delete behavior and how to select permanent deletion via hard_delete=true, giving clear guidance for the key usage decision. However, it does not explicitly mention when to avoid using this tool or recommend alternatives (e.g., archive or export) for other needs.

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

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

The description simply restates 'Delete' which is already captured by destructiveHint=true. It provides no additional context about permanence, side effects, or permissions. Nothing is added beyond the annotation.

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

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

The description is a single, concise sentence that is front-loaded with the action and resource. No wasted words.

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

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

For a simple one-parameter delete tool with annotations covering destructiveness and an output schema present, the description is mostly sufficient. It lacks any extra nuance, but the minimal context is adequate given the structured metadata.

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

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

Schema coverage is 100% and the parameter description is clear ('Rule identifier.'). The phrase 'by rule_id' adds no new meaning beyond the schema. Baseline 3 applies.

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

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

The description clearly states the action (delete), the target resource (user rule), and the identifier used (rule_id). It distinguishes from sibling tools like palim_add_user_rule and palim_update_user_rule.

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

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

No guidance on when to use this tool versus alternatives such as adding or updating a rule. There is no mention of prerequisites or context that would help the agent decide.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds context about the exact tool output structure (INDEX.md, wiki-links, per-topic files with frontmatter, and marker comments), which is valuable beyond the annotation safety profile.

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

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

The description is two sentences, front-loaded with the core purpose, and every sentence contributes value—first defining what the tool does, second indicating when to use it. No redundant or extraneous 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 tool's low complexity (one optional parameter) and the presence of an output schema, the description adequately explains purpose, output format, and usage. It could mention how the vault is delivered (e.g., zip file, folder), but that is a minor omission.

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 parameter (include_frontmatter), and the schema provides a clear description. The tool description does not add extra meaning beyond the schema, but the baseline of 3 is appropriate because the schema fully documents 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 uses a specific verb ('Export') and resource ('entire distilled knowledge profile') and details the output format ('Obsidian-ready markdown vault: an INDEX.md with wiki-links plus one markdown document per topic'). It clearly distinguishes from sibling tools like palim_export_session by emphasizing 'entire' brain export.

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 provides usage context: 'Use when the user wants to download, back up, or sync their brain into Obsidian, a git repo, or local files.' However, it does not name alternative tools or provide exclusions, so it lacks explicit comparison 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?

Annotation Contradiction: The annotations declare readOnlyHint=true, but the description states that when save_to_file=true, it 'create[s] the file' - a side effect that violates read-only semantics. The description contradicts the structured safety metadata.

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, front-loaded sentences. The first sentence states the core purpose, and the second clarifies the conditional file behavior. No wasted words.

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

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

The description is complete for invocation: it covers the exported formats, the side-effect condition, and implies return values. With an output schema and fully documented parameters, no additional details are missing for the agent to use the tool correctly.

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

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

Schema coverage is 100%, so baseline is 3. The description adds meaningful context for save_to_file by explaining the file creation behavior and linking it to the returned suggested_filename and content, which goes beyond the schema's generic 'Save exported content to a file'.

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 exports a session as Markdown, JSON, or plain text, and explicitly mentions the file-saving option. This distinguishes it from sibling tools like get_session that merely retrieve sessions.

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

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

The description implies the tool is for exporting sessions, but it does not explicitly contrast it with alternatives (e.g., get_session, show_session) or state when file-saving is preferred. No excluded scenarios or when-not-to-use guidance is provided.

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

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

Annotations already provide readOnly, openWorld, idempotent, and non-destructive hints. The description adds that similarity is based on keyword and content, which is useful context about matching criteria. No contradiction.

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

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

One sentence of ten words, front-loaded with the verb and purpose. No unnecessary 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?

With a rich schema and output schema available, the description sufficiently communicates the tool's core function. Could mention result ordering or requirements, but overall adequate for a simple read-only search.

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 all three parameters, so the schema already documents each parameter. The description does not add additional parameter semantics beyond the schema.

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

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

The description clearly states the verb 'find' and the resource 'sessions similar to a given session', with the method 'keyword and content similarity'. This distinguishes it from sibling tools like search or get_session.

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

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

No explicit guidance on when to use this tool versus alternatives like search or browse_sessions. The purpose implies usage, but the description does not mention when not to use it or which alternative to prefer.

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

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds valuable behavioral context: the response format for the index (one line per topic with fields), the cost profile ('cheap to load'), and the distinction between index vs full document. This goes well beyond the annotations.

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

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

The description is three sentences, front-loaded with the tool's purpose, then logical details. Every sentence contributes: purpose, index behavior/cost, topic behavior/content, and how topics are created. No fluff or redundancy.

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

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

Given the single optional parameter, rich annotations, and existing output schema, the description is complete. It covers both invocation modes, the output structure for the default mode, and the provenance of topics. Nothing critical is missing for an agent to decide when and how to invoke it.

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

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

The input schema already describes the 'topic' parameter as optional, accepting slug or name, and explains the behavior difference. The description repeats this nearly verbatim ('slug or name', 'full topic document') without adding new parameter-level details. Thus it meets the baseline for 100% 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 uses a specific verb ('Get') and resource ('distilled knowledge profile Brain'), and clearly distinguishes between the index response (no arguments) and a full topic document (with topic argument). This explicitly differentiates it from sibling tools like palim_get_summary and palim_get_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?

It provides explicit when-to-use guidance: 'Without arguments returns the brain index... cheap to load at conversation start' and 'Pass topic to load one full topic document'. It doesn't mention alternatives or exclusions, but the context is clear. The note about topics being distilled from saved sessions implies timing.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that it searches and retrieves sessions, but does not disclose details like how sessions are selected, how 'formatted' output is structured, or any side effects. This is minimal additional value beyond annotations, fitting a score of 3.

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

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

The description is a single, concise sentence with no filler. It front-loads the primary action ('Get formatted context') and includes the essential nuance ('by searching and retrieving relevant sessions'). Every word earns its place.

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

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

For a read-only, idempotent tool with rich annotations and a full output schema, the description is sufficient. It names the core input (topic) and the general behavior, while the output schema clarifies the return structure. It could be slightly more explicit about what 'formatted' entails, but overall it is complete for this complexity level.

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 all five parameters are already documented in the schema. The description itself only references 'topic' and does not elaborate on optional filters like tags, status, project, or max_sessions. Thus, it adds no meaningful parameter semantics beyond the schema, warranting the 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 tool's function: 'Get formatted context for a specific topic by searching and retrieving relevant sessions.' It uses a specific verb ('Get'), names the resource ('formatted context'), and indicates the method (searching/retrieving). This distinguishes it from siblings like palim_search (raw search) and palim_get_session (single session) by emphasizing the formatted, topic-centric output.

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

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

The description implies a clear usage scenario: use when you need a formatted context for a specific topic, achieved by gathering relevant sessions. It provides context but does not explicitly exclude alternatives or name sibling tools. This matches 'clear context, no exclusions' (score 4).

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

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the safety profile is covered. The description adds context about returning 'all messages and summary', which clarifies the data scope but does not disclose additional behavioral traits (e.g., payload size, pagination, or external data access despite openWorldHint). This is adequate but not rich.

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

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

The description is a single, clear sentence that front-loads the action and object. Every word earns its place, with no redundant information or fluff. It is appropriately concise for a simple retrieval tool.

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

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

Given the tool's low complexity (one parameter) and the presence of an output schema, the description is nearly complete. It tells the agent what to expect (complete session with messages and summary). The only gap is the lack of explicit usage differentiation among sibling tools, but that is not critical for a straightforward retrieve-by-ID 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?

Schema description coverage is 100%, with session_id described as 'Session ID to retrieve'. The tool description adds no further meaning beyond the schema, just echoing 'by ID'. Baseline of 3 is appropriate because the schema already carries the parameter semantics.

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

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

The description uses the specific verb 'retrieve' and identifies the resource as 'a complete chat session by ID', with the detail 'including all messages and summary'. This clearly states the tool's function. However, it does not explicitly distinguish itself from sibling tools like palim_show_session or palim_get_sessions, so it lacks explicit sibling 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?

The description implies usage when one has a session ID and needs the full session with messages and summary, but it does not explicitly state when to use this tool versus the many sibling tools (e.g., palim_get_sessions, palim_show_session). There are no exclusions or alternative recommendations, so guidance is only implied.

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

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive. The description adds the batch-retrieval context and the use case ('what did I do last week?'), but does not disclose additional behavioral traits such as limits or token management beyond what the schema provides. Since the annotations cover safety and idempotence, a score of 3 is appropriate.

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

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

Three sentences total, the first states the core purpose, the second gives usage context, and the third names the preferred alternative. No wasted words, front-loaded, and well 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 a moderate parameter set (3, with 1 required) and an output schema exists, the description is complete. It covers what it does, when to use it, and the alternative. No missing critical context for a read-only batch retrieval tool.

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

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

Schema description coverage is 100% for all three parameters (session_ids, include_summary, max_messages_per_session). The description does not add any additional parameter semantics; it only refers generally to 'full content.' Baseline 3 applies because the schema carries the parameter meaning.

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

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

The description clearly states the tool's function: 'Retrieve multiple chat sessions by ID in one call.' It uses the specific verb 'Retrieve' and identifies the resource (chat sessions) and scope (multiple by ID). It also distinguishes from sibling tools like palim_get_session by noting it's batched, and positions itself relative to search tools.

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

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

Explicit guidance is given: 'Use after palim_search or palim_search_by_date_range when you need full content for several sessions.' It also states 'Prefer this over multiple palim_get_session calls,' directly addressing when to use this tool vs alternative. This meets the highest bar for usage guidelines.

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

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, which cover the safety profile. The description adds context about the specific statistics returned but does not disclose additional behavioral nuances such as performance implications, filtering scope, or any side effects, which would go beyond the annotations.

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

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

The description is a single, front-loaded sentence that efficiently lists the three main statistics without superfluous details. It is compact, clear, and every word contributes to understanding the tool's functionality.

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

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

For a simple read-only tool with one optional parameter and an output schema (indicated by context signals), the description covers the core functionality well. It does not explain the exact return format, but that is unnecessary given the output schema. The description is complete enough for an agent to understand the tool's scope and use it appropriately.

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 fully describes the 'days' parameter with its purpose and default behavior, so schema coverage is 100%. The description mentions 'recent activity' which aligns with the parameter but does not add substantial new semantics 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 clearly states the tool's purpose using a specific verb ('Get') and resource ('saved chats'), and enumerates the key statistics: total sessions, sessions by tool, and recent activity. This distinguishes it from sibling tools like get_sessions or list_sessions, which would return individual session details rather than aggregate statistics.

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

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

The description implies the tool is for obtaining aggregate statistics about chats, but does not explicitly state when to use it over alternatives such as get_sessions or browse_sessions. There is no mention of exclusions or alternative tool names, so the usage guidance is inferred rather than explicitly provided.

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

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds valuable behavioral context: it does not load messages, implying efficiency for summary-only needs. This goes beyond the annotations and helps the agent understand the performance characteristics without contradicting any structured metadata.

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

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

The description is a single sentence of 14 words. It is front-loaded with the primary action ('Get only the summary') and the key qualifier ('without loading messages'). No fluff, every word contributes to the tool's purpose.

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

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

For a simple one-parameter tool with an output schema, rich annotations, and a clear purpose statement, the description is fully sufficient. It tells the agent exactly what the tool does and when to prefer it. No additional context is needed given the tool's simplicity and the presence of an output schema to describe 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?

The input schema has one parameter, session_id, with a clear description. Schema coverage is 100%, so the description does not need to compensate. The description 'for a session' reinforces the parameter's role but adds no additional meaning or format details beyond what the schema already provides. 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 tool's action: 'Get only the summary for a session' with the specific scope of not loading messages. This distinguishes it from siblings like palim_get_session (which likely loads full messages) and palim_list_summaries (which lists summaries). The verb 'Get' and resource 'summary for a session' are explicit.

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

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

The description clearly implies when to use this tool: when you want only the summary and not the full messages ('without loading messages'). This differentiates it from palim_get_session and suggests a lighter-weight alternative, but it does not explicitly state exclusions or alternative tool names. The context is clear but not fully explicit.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true. The description adds no behavioral details beyond the purpose itself (e.g., no mention of response format, permissions, or side effects). It does not contradict annotations, but it adds no extra 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 a single, clear sentence without unnecessary words. It is appropriately sized for a straightforward getter tool without verbose or redundant 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?

The description is adequate for a simple read-only tool with annotations and an output schema, but it lacks some context: it does not explain what a 'context block' contains or how it differs from similar tools. Given the output schema exists, the description need not detail return values, but the distinction from sibling tools remains a gap.

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

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

Schema coverage is 100% with the only parameter 'format' fully described as optional and defaulting to text. The description adds no parameter-level detail, but since the schema carries the full semantics, a baseline score of 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 tool retrieves the current user-specific context block. It uses the specific verb 'Get' and a well-defined resource with scope ('user-specific'), which differentiates it from sibling tools like palim_get_context.

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

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

The description provides no guidance on when to use this tool versus alternatives such as palim_get_context or palim_set_user_context. Usage is only implied by the name/description, but no explicit when-to-use or when-not-to-use instructions are given.

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

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds the important behavioral note that the profile may not be initialized, which sets expectations about availability. This goes beyond what annotations provide, so a 4 is warranted.

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

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

The description is a single, front-loaded sentence that immediately states the action and subject with zero redundancy or irrelevant 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 getter with one optional parameter and an output schema, the description is largely sufficient, covering the core action and the initialization precondition. Minor gaps include unspecified behavior when the profile is not initialized, but this does not significantly detract from 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?

The schema fully documents the single optional 'fields' parameter with a clear description ('Optional profile field names to return. Omit for the full profile.'). The tool description adds no additional parameter semantics, but since schema coverage is 100%, the baseline score of 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 tool retrieves the inferred user profile, using a specific verb ('Get') and resource ('inferred user profile'). It also notes the 'if initialized' precondition, which adds specificity. However, it does not explicitly distinguish itself from sibling tools like palim_get_user_context or palim_update_user_profile.

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

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

The description provides a conditional context ('if initialized') that helps the agent understand when the tool might be applicable. However, it does not mention any alternatives or provide exclusion criteria, so the guidance is only implied rather than explicit.

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

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

The annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, fully covering the safety profile. The description adds no additional behavioral traits beyond the stated purpose; it does not mention category filtering or any operational details. Thus, it provides minimal value beyond the annotations.

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

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

One sentence, succinctly stating the purpose. No fluff or redundancy.

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

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

The tool is simple, has only one optional parameter with clear enum, rich annotations, and an output schema. The description is adequate for an agent to understand its purpose without needing more detail.

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 'category' has a full description and enum in the schema (100% coverage). The description does not mention it, but the schema sufficiently documents it, so the baseline of 3 applies.

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

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

The description clearly states a specific verb ('Show') and resource ('an overview of all available Palim tools and usage instructions'). It distinguishes itself from siblings by being the dedicated help overview tool.

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

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

The description implies when to use it: whenever you need an overview of available tools and instructions. It does not explicitly exclude alternatives, but as the sole help tool among siblings, the context is clear.

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

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

Annotations already establish read-only, idempotent, non-destructive behavior, so the description does not need to repeat that. It adds filter capability but no additional behavioral context such as pagination, ordering, or open-world implications, resulting in a moderate score.

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, focused sentence that leads with the primary action and lists key filter categories. There is no wasted wording or structural clutter.

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 a rich output schema and full input schema coverage, the description is sufficient to understand the tool's purpose and capabilities. It slightly omits the limit filter from its parenthetical list, but the schema fills that gap, so the overall completeness is good.

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 fully documents all six parameters with 100% coverage, including defaults and formats. The description's parenthetical list of filters is redundant and does not add new meaning beyond the schema, so the baseline score of 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 identifies the tool as listing saved chat sessions with optional filters, using the specific verb 'list' plus the resource. However, it does not differentiate among sibling tools like browse_sessions or get_sessions, so it stops short of a perfect score.

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

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

No guidance is given on when to use this tool instead of similar session-related siblings. The description mentions filters but provides no context or exclusions, leaving the agent without decision support 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?

Annotations already declare readOnlyHint=true and destructiveHint=false, establishing the safe read-only nature. The description adds behavioral context beyond annotations by disclosing that results exclude full message content, which warns the user about what they won't receive. It also mentions optional filters. This adds value without contradicting the annotations.

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

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

The description is two short sentences, front-loaded with the primary action and immediately followed by a key limitation. Every word contributes value with no redundancy or filler. It is concise while still conveying essential information.

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

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

The tool is simple with low complexity, and the schema covers both parameters with 100% coverage, while an output schema exists. The description adequately communicates the core purpose and a key limitation. It lacks only an explicit pointer to sibling tools for full-content scenarios, but given the richness of structured data, this is a minor gap.

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

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

The schema description coverage is 100%, documenting both 'limit' and 'tool_source' with clear meanings and defaults. The description adds nothing about parameter syntax, types, or constraints beyond what the schema already provides. Baseline 3 is appropriate as the schema does the heavy lifting.

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

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

The description uses a specific verb 'List' with a clear resource 'saved session summaries' and adds a differentiator: 'Returns summaries without full message content'. This clearly distinguishes it from siblings like palim_get_summary (which presumably returns full content) and palim_list_sessions (which lists sessions, not summaries).

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

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

The description implies when to use this tool by stating it lists summaries and explicitly notes the limitation that it doesn't include full message content. This suggests using another tool (e.g., get_summary) for full content, though no explicit alternative is named. It also mentions optional filters, providing context. However, it doesn't explicitly state when not to use it or name alternatives.

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

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

Annotations (readOnlyHint, idempotentHint, destructiveHint=false) already cover the safety profile. The description adds the current-user scope, which is useful, but it does not disclose that 'all' rules actually defaults to active-only unless include_inactive=true, which could subtly mislead 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?

One short, front-loaded sentence that states exactly what the tool does without any unnecessary words or repetition.

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

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

For a simple list tool with one optional parameter and an output schema, the description is nearly sufficient. The minor caveat about 'all' potentially conflicting with the default active-only behavior is a small gap, but the schema compensates.

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 fully describes the single parameter include_inactive with default behavior (100% schema coverage). The tool description adds no parameter-specific info, so the baseline score of 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 uses the specific verb 'List' with the resource 'user rules' and scopes it to 'the current user,' which clearly distinguishes it from sibling tools like palim_add_user_rule, palim_delete_user_rule, and palim_update_user_rule.

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 clearly implies the tool is for viewing the current user's rules, and the read-only annotation further reinforces when to use it. It does not explicitly name alternatives, but the resource in the description makes the use case unambiguous.

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 side effect ('create a new API key') and that no prior authentication is needed, which is useful beyond the annotations. Annotations already mark it as non-read-only and non-idempotent; description adds specific behavioral context without contradicting them.

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 the action verb, and no redundant or filler content. Every word contributes.

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 two-parameter login tool with output schema and annotations, the description covers purpose, side effect, and authentication preconditions. No critical gaps remain for an agent to select and invoke it correctly.

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

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

Input schema has 100% description coverage for email and password. Description only adds the generic qualifier 'existing credentials,' which adds marginal semantic context but does not meaningfully enhance parameter understanding beyond the schema.

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

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

Description clearly states action ('Login with existing credentials') and outcome ('create a new API key'). It distinguishes from sibling tools like palim_register by specifying existing credentials. The scope is specific and unambiguous.

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

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

The phrase 'with existing credentials' provides clear context for when to use this tool, and 'Does not require authentication' clarifies prerequisites. However, it does not explicitly contrast with alternatives such as palim_register or palim_logout, so it stops short of full usage guidance.

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

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

The description explicitly states it 'Deletes API keys and revokes OAuth sessions,' which are destructive actions, but the annotations set destructiveHint to false. This is a direct contradiction, undermining the safety profile. The description adds behavioral specifics but conflicts with structured metadata.

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

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

The description is two concise sentences, front-loaded with the primary action 'Sign out from Palim,' and contains no redundant or extraneous details. Every word contributes to 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?

The tool is simple, and the schema plus output schema cover parameters and return values adequately. However, the description does not warn about the irreversible loss of access when deleting all API keys, and the annotation contradiction makes the overall context less complete.

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

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

The input schema provides 100% coverage for both parameters, including descriptions of defaults and behavior. The tool description does not add any parameter-specific meaning beyond the schema, so the baseline score of 3 applies.

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

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

The description uses the specific verb 'Sign out' and identifies the resource 'Palim,' clearly distinguishing it from sibling tools like login, register, and resume. It also states the key actions (deletes API keys, revokes OAuth sessions), making the purpose unambiguous.

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

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

The description implies usage when the user wants to sign out, but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. It is a clear, implied usage context.

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

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

Annotations indicate a non-read-only operation (readOnlyHint=false), but the description adds that it encrypts using the 'server encryption key' and explicitly introduces a dry-run mode to preview changes. This provides practical behavioral context beyond the annotation flags, such as the ability to test before applying.

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

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

The description is two sentences: the first states the core action and scope, the second gives a direct actionable tip. No redundant wording or unnecessary context. It is efficient and front-loaded.

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

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

For a simple single-parameter tool with an output schema, the description fully captures the operation's purpose, scope, and safety mechanism (dry-run). No additional context is needed for correct invocation.

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

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

The schema provides 100% coverage for the single parameter (dry_run) with a clear description, so the tool description does not need to explain it in detail. The mention of 'dry_run=true' in the prose simply echoes the schema without adding new semantic depth. Baseline of 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 uses a specific verb ('Encrypt') and clearly identifies the target resources ('all plaintext sessions/messages/summaries'). It also mentions the encryption key source, making the purpose unmistakable and distinct from sibling tools like palim_export_session or palim_delete_session.

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

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

The description clearly implies when to use this tool: when you need to encrypt existing plaintext data. It also gives a direct usage instruction ('Use dry_run=true to preview'), which guides the agent on safe invocation. No alternatives or exclusions are mentioned, so it stops short of a 5.

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

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

The description adds useful behavioral context beyond annotations: it explicitly notes that no authentication is required, and that an API key is returned upon registration. Since annotations already indicate a non-read-only, non-destructive write operation, the description supplements them effectively.

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, tightly written sentence. It conveys the purpose, the outcome, and a key behavioral trait (no auth) with no wasted words.

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

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

For a simple registration tool with fully described parameters, a clear output schema, and annotations, the description covers the essential aspects. It includes the crucial note about no authentication and the API key outcome, making it complete enough for an agent to understand and invoke the tool correctly.

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

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

The input schema provides 100% coverage with descriptions for all three parameters (email, password, password_confirm). The description adds no additional parameter-level semantics, so the baseline score of 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 tool's function: 'Register a new Palim account and receive an API key.' It uses a specific verb ('register') and resource ('Palim account'), and the result (API key) is mentioned. This distinguishes it from siblings like palim_login or palim_logout.

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

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

The description implies usage context by stating 'Does not require authentication,' which differentiates it from authenticated operations. However, it does not explicitly name alternatives or say 'use this instead of palim_login if you are new,' so some inference is required.

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

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

The description adds substantial behavioral context beyond annotations: it re-derives from source session summaries, only extends strict prefixes, and leaves hand-edited topics untouched. This aligns with idempotent and non-destructive hints and provides concrete safety guarantees.

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, front-loaded with purpose and then safety details. Every clause adds necessary information with zero redundancy.

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

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

Given the output schema exists and annotations cover idempotency and destructiveness, the description fully explains what triggers repair, how it works, and a safe usage pattern. It is complete for an agent to act correctly.

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

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

Schema coverage is 100%, so the baseline is 3. The description reinforces the purpose of the parameters by explicitly recommending dry_run=true for review, adding practical guidance beyond the schema's field descriptions.

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

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

The description clearly identifies the specific action ('Repair') and the exact resources ('brain hooks and session-log lines') with a concrete problem definition (truncated mid-clause by old sentence splitter). It is easily distinguished from all sibling tools, none of which mention repair.

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 clear context on when this tool is appropriate (fixing truncated entries) and gives a safety instruction ('Use dry_run=true to review first'). It does not explicitly name alternatives or exclusion criteria, but the context is sufficient for an agent to decide.

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

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds substantial behavioral context: returns a handoff-formatted thread, includes last turn and recent threads, notes that short threads are included, and advises ignoring irrelevant results. This goes far beyond the annotations to explain what the tool actually does and what to expect.

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 appropriately sized despite its length; every sentence carries important information. It is front-loaded with the core purpose, follows with usage rules, alternatives, and edge-case handling. No fluff or repetition of schema 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 output schema exists (so return values are documented), the description covers everything else: when to call, how to call, what it returns, alternatives, and how to handle irrelevant results. It is complete for a tool of 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?

Schema description coverage is 100% with clear per-parameter descriptions. The description itself does not add meaning beyond the schema, merely encouraging invocation with no arguments. This meets the baseline but does not exceed 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?

The description explicitly states the verb and resource: 'Continue where the user left off' and 'returns the most recently updated Palim thread'. It also clearly distinguishes from siblings by naming palim_get_context as an alternative when there is no specific topic. The purpose is immediately clear and unambiguous.

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

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

Provides explicit when-to-use guidance: 'Call this as the FIRST action in a new chat', and names alternatives: 'instead of asking the user to summarise a previous chat, and instead of palim_get_context when there is no specific topic to search for'. Also instructs handling of unrelated results ('ignore it silently'). This is the gold standard for usage 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?

Adds meaningful behavioral details beyond the annotations: it does NOT store the transcript, and reusing session_id updates the existing summary instead of creating a new session. These are operationally important and not visible in annotations. No contradiction with the annotation flags (write, idempotent, non-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?

Six sentences, front-loaded with the purpose and no filler. The 'Default lightweight' opener adds a bit of context while remaining concise. Every sentence contributes: purpose, proactive usage, transcript omission, session_id reuse, and alternative tool.

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

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

Given the tool's complexity (16 params, output schema present), the description adequately covers the essential context: when to use, the no-transcript constraint, session_id reuse behavior, and the alternative for full transcripts. Return values are handled by the output schema, so no need to describe them.

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

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

Input schema covers 100% of parameters with detailed descriptions, so the baseline is 3. The tool description adds a small hint about reusing session_id but does not materially expand on parameter formats or semantics 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 states 'Save a self-contained summary of the current chat so another AI tool can continue with the same knowledge' – a specific verb and resource. It also explicitly contrasts with palim_save_session ('Use palim_save_session only when the full transcript is actually needed'), distinguishing it from siblings.

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

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

Provides explicit when-to-use guidance: 'Use proactively after every substantial result, decision, or change of direction; do not wait for the user to ask.' It also gives a when-not-to-use condition and names the alternative tool, palim_save_session.

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

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

Annotations already mark this as non-read-only and non-idempotent, so the mutating nature is known. The description adds valuable behavioral context: the append workflow (check existing messages first), the requirement that tool_source is mandatory, and the detailed user_insights extraction rules with anti-slop guidance. It doesn't contradict annotations, and it enriches beyond the structured fields.

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 a clear purpose and alternative tools, but it becomes long and somewhat redundant by repeating the user_insights field structure and anti-slop list that already appear in the schema. It is appropriately detailed but not maximally concise; some sentences could be trimmed without losing key 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 the high complexity (7 parameters, nested objects, output schema present), the description is quite complete: it covers the core save/append operation, exclusion of alternatives, workflow steps, summary requirements, mandatory tool_source, and user modeling extraction rules. The output schema handles return values, so no gap there. Minor omissions like overwrite behavior are already covered by the 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?

Schema coverage is 100%, so baseline is 3, but the description clearly goes beyond the schema: it explains reuse semantics for session_id and title, instructs to send only new messages when appending, emphasizes a complete summary, and details the user_insights structure and anti-slop constraints. This materially helps an agent use parameters correctly.

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

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

The description opens with a specific verb and resource: 'Save or append to a chat session with messages and summary.' It clearly distinguishes itself from sibling tools by explicitly naming palim_update_session_metadata and palim_update_session_references for metadata-only and URL/reference updates respectively, which makes its scope unmistakable.

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 when-to-use vs alternatives: 'For metadata-only changes... use palim_update_session_metadata. For URL/reference updates, use palim_update_session_references.' It also gives concrete workflow instructions for appending: reuse session_id and title, call palim_get_session first, send only new messages, and always include a complete summary.

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

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering the safety profile. The description adds useful behavioral details: supports two modes (full-text query vs. metadata filtering) and combination, plus the 'omit query' behavior, which goes beyond the annotation-provided information. No contradictions found.

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

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

The description is two sentences long, front-loaded with the primary action, then details the support modes and a key usage tip. Every sentence earns its place, with no redundant or filler 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?

With full schema coverage, an output schema, and detailed annotations, the description focuses on the essential behavioral aspects: search modes and the query-omission rule. It might mention pagination or ordering, but the output schema likely covers return values, so it is sufficiently complete for this tool's complexity.

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

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

Schema coverage is 100%, so a baseline of 3 is appropriate. The description adds cross-parameter semantics by explaining how query, tags, project, status, and tool_source combine ('or both') and the specific rule for tags-only filtering. This enriches the meaning beyond individual schema entries.

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

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

The description clearly states the tool's function: 'Search across all saved sessions.' It specifies the exact resource (sessions) and the search capabilities (full-text query, metadata filtering by tags/project/status/tool_source), distinguishing it from sibling search tools like palim_search_memories or palim_browse_sessions.

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 context for when to use the tool: for searching sessions by content or metadata, with an explicit tip to omit the query for tags-only filtering. However, it does not name alternative tools or explicitly state when not to use it, so it misses the full 'when-not' guidance.

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

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

Annotations already declare readOnly, idempotent, and non-destructive behavior, so the bar for transparency is lower. The description adds value beyond annotations by noting the performance trait ('Faster than palim_search') and demonstrating how date phrases map to parameters. This provides useful behavioral context not present in annotations.

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

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

The description is compact, with three sentences that front-load the main purpose and usage. The example adds clarity but makes it slightly longer than necessary. Overall, every sentence earns its place, though it could be trimmed 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 presence of a rich output schema, full parameter schema coverage, and strong annotations (readOnly, idempotent, openWorld), the description covers the essential context: what it does, when to use it, and how to map user intent to parameters. It also provides a performance comparison with a sibling. No significant gaps remain.

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 all six parameters documented in the schema. The description adds marginal value by showing the mapping from user language to date_from/date_to and tags, but this is largely redundant with the schema's descriptions. With high schema coverage, the baseline of 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 tool searches sessions by date range with optional tags, using a specific verb ('search') and resource ('sessions'). It also distinguishes itself from sibling palim_search by emphasizing the date-range + tags combination and noting it is faster when both time and topic are relevant.

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

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

The description explicitly states when to use the tool: when the user mentions a time period and optionally a topic/project. It provides a concrete example ('letzte Woche bei Logisoft') and compares with the alternative palim_search by noting it's faster when time + topic are both relevant, which is clear exclusion/alternative guidance.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, which covers safety and side-effect profile. The description adds no extra behavioral context (e.g., return format, pagination, or limitations) beyond what annotations and schema provide, but it does not contradict the annotations.

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

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

The description is a single concise sentence that front-loads the verb and resource. It contains no fluff or repetition, and every word adds value. This is an example of appropriate minimalism.

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 (4 params, all documented, output schema present, strong annotations), the description is sufficient for basic invocation. It lacks sibling differentiation and usage context, but for a straightforward search tool the core information is complete.

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

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

The input schema has 100% description coverage for all four parameters, so the baseline is 3. The description's mention of 'query, type, or tags' restates parameter names without adding deeper semantic meaning (e.g., query syntax, tag format, or effect of limit). Schema already carries the load.

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 'Search through stored memories by query, type, or tags,' identifying the verb (search), resource (stored memories), and scope (query/type/tags). It is specific enough to distinguish this tool from generic alternatives like palim_search, though it does not explicitly name siblings or contrast 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?

The description offers no guidance on when to use this tool compared to alternatives such as palim_find_similar or palim_search_by_date_range. It only describes what the tool does, not the appropriate context or exclusions, so the agent receives no decision support.

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

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

Annotations already declare the operation is non-readonly, idempotent, and non-destructive. The description adds that this block is for personalized AI guidance, but it does not disclose whether the content replaces or merges existing context blocks, nor any authentication or size constraints. Some behavioral information is missing beyond the safety hints.

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

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

A single sentence directly states the action and purpose. There is no filler or redundant phrasing, and it effectively communicates the core function.

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

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

The tool has one well-documented parameter and an output schema, so the description does not need to explain return structures. However, it lacks explicit overwrite behavior and might benefit from a note that it is the write counterpart to palim_get_user_context, leaving some contextual gap.

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

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

The input schema already provides a complete description for the only parameter, 'content', including examples of bio, projects, and preferences. The tool description adds no additional semantic detail, so it does not improve on the schema's 100% 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 uses the verb 'Set' with the specific resource 'user-specific context block', clarifying it writes the user context rather than retrieving it. This distinguishes it from sibling tools like palim_get_user_context and palim_save_context, even though those are not explicitly named.

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

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

The description implies the tool is used for assigning the content that powers personalized AI guidance, but it gives no explicit comparison to alternatives or conditions for use. No 'use instead' or 'don't use when' guidance is provided, so the usage is only implied.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing a safe read operation. The description adds valuable behavioral context: the interactive prompt for display count on chats over 20 messages, and the importance of max_messages to avoid that prompt. No contradictions with annotations.

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

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

The description is two sentences, front-loaded with the main purpose, and every sentence adds value. It is concise and well-structured, wasting no 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 rich annotations and full output schema, the description covers the essential purpose, key behavioral quirk (prompt for >20 messages), and parameter usage. It could go further by stating how to handle the prompt programmatically, but the mention of max_messages provides a clear workaround. Overall complete for a read-only display tool.

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

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

Schema description coverage is 100%, so baseline is 3. The description adds little beyond the schema: it reiterates that session_id accepts slug or UUID, and hints at max_messages behavior via the prompt. Direction and include_summary are only described in the schema. This is adequate but not enriched beyond schema.

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

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

The description clearly states the tool's function with a specific verb and resource: 'Display a chat session in a readable message-by-message format.' This distinguishes it from sibling tools like palim_get_session, which likely returns raw session data, and palim_export_session, which exports. The mention of accepting slug or UUID further clarifies scope.

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

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

The description provides clear context for when to use the tool (to display a chat session in readable format) but does not explicitly mention alternatives or exclusions. It gives practical guidance about handling large chats via max_messages, but lacks direct comparison to siblings. This fits 'clear context, no 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?

The description explicitly says 'or delete it', a destructive action, but the annotations declare destructiveHint=false. This is a direct contradiction. While other annotations (readOnlyHint=false, idempotentHint=false) align with the editing behavior, the destructive mismatch is a serious flaw, so the score is 1.

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

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

The description is two sentences, front-loaded with the main actions, and includes a specific usage cue. No wasted words or redundancy.

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

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

The description covers the main operations and provides usage context. An output schema exists, so return values are not needed. The contradiction with destructiveHint is a drawback, but overall the description is sufficiently complete for guiding selection and invocation.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds valuable guidance beyond the schema: 'Keep the section structure ... when replacing content' clarifies how to use the 'content' parameter. This extra context raises the score.

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 'Edit' and the resource 'brain topic', enumerating specific actions: replace content, rename, update hook, or delete. It is distinct from sibling tools like palim_update_memory, which targets memories, and palim_get_brain, which is read-only.

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 a clear 'Use when' scenario: 'when the user wants to correct, clean up, or remove distilled knowledge.' It does not explicitly mention when not to use it or alternatives, but the context is specific enough for an agent.

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

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

Annotations already indicate this is not read-only, not destructive, and idempotent. The description adds useful context: at least one editable field must be provided, and contents/tags/metadata remain encrypted. This goes beyond the structured metadata without contradicting it.

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 entire description is one concise sentence that front-loads the purpose and includes only essential additional constraints. No wasted words or redundancy.

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

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

Given the six-parameter schema, rich annotations, and the presence of an output schema, the description is largely sufficient. It covers the key requirement about editable fields and the encryption guarantee. It could have explicitly stated that unspecified fields remain unchanged, but the schema's 'Replacement' wording implies this.

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

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

The schema provides descriptions for all six parameters (100% coverage), so the baseline is 3. The description adds a cross-parameter constraint: 'At least one editable field is required,' which is not explicit in the schema and helps clarify that a partial update is intended.

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

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

The description opens with 'Update one stored memory by ID,' clearly identifying the action (update), resource (stored memory), and scope (by ID). This distinguishes it from sibling tools like add_memory and delete_memory.

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

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

Usage context is implied by the phrase 'Update one stored memory by ID,' indicating it is for modifying existing memories. However, it does not explicitly state when not to use it or mention alternatives, such as palim_add_memory for new memories.

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

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

Annotations already indicate idempotent, non-destructive, and write behavior. The description adds minimal behavioral context beyond that, such as noting 'custom fields' which are not in the schema. However, it does not disclose additional effects (e.g., merging semantics, error cases) that go beyond the schema and annotations.

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

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

The description is two sentences long, front-loaded with the core purpose, and includes a usage example plus an alternative. No unnecessary words or repetition.

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

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

Given that an output schema exists and annotations cover safety, the description provides sufficient context for a moderate-complexity mutation tool. It covers purpose, usage trigger, and sibling differentiation, while the schema handles parameter details.

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 parameters are well-documented. The description adds only marginal value (e.g., the 'custom fields' mention and the example for created_at). It does not significantly improve understanding beyond the schema descriptions.

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

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

The description clearly states the tool's function: 'Update metadata of an existing session' and enumerates specific fields (title, tags, status, project, created_at, custom fields). It also distinguishes itself from the sibling tool palim_update_session_references, making its purpose unambiguous.

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

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

The description provides an explicit usage trigger ('Use when user says "change date of chat X to Y"') and an explicit alternative for URL/reference updates. This gives the agent clear guidance on when to choose this tool versus a related sibling.

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

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

Annotations already declare readOnlyHint=false and idempotentHint=true, so the mutation behavior is clear. The description adds useful context: the operation does not re-save messages and expects all distinct URLs to be provided, which is consistent with annotations and adds value beyond them.

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

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

The description is two sentences, front-loaded with the action and resource, and every word adds value. It is concise without being 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, the presence of an output schema, and complete parameter documentation, the description fully covers what an agent needs to know. The 'without re-saving messages' caveat is an important extra detail that rounds out the 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?

The input schema covers all parameters with detailed descriptions (merge behavior, session_id, source_urls). The description adds value by specifying examples of what counts as source URLs (chat URL, source links, inline references), enriching understanding beyond the schema.

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

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

The description clearly states the action ('Add or update') and the specific resource ('source/reference URLs for an existing session'). It also clarifies the scope by mentioning 'without re-saving messages' and defines the types of URLs to include, making it distinct from sibling tools like palim_update_session_metadata.

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 clear context: use this for adding/updating URLs without re-saving the whole session. However, it does not explicitly name alternative tools or state when not to use it, so it stops short of full 'when/when-not' guidance.

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

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

The description discloses key behavioral traits including default array merging, overwrite via replace_fields, and removal via delete_fields. These go beyond the annotations (readOnlyHint=false, openWorldHint=true) and clarify the mutation semantics. There is no contradiction with annotations.

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

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

Two sentences, highly information-dense, no wasted words. The primary action is stated first, followed by clear conditional guidance. Excellent front-loading.

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

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

With 5 parameters, nested objects, and an output schema, the description covers the core merge/replace/delete semantics thoroughly. It lacks explicit mention of permission requirements or broader side effects, but openWorldHint and the output schema compensate. Slightly more detail on expected side effects would make it complete.

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

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

Schema coverage is 100%, and the description enriches this by explaining how profile_patch interacts with replace_fields and delete_fields, adding behavioral meaning beyond the raw parameter descriptions. This is more than the baseline 3, but not a perfect 5 since the booleans are straightforward and not further elaborated.

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 updates profile settings (consent/refinement) and optionally applies a profile patch. It explicitly differentiates merge behavior from replace and delete, which are unique to this tool among siblings like get_user_profile or set_user_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?

It provides explicit guidance on when to use replace_fields versus delete_fields versus default merging, which is excellent for parameter-level usage. However, it does not explicitly contrast this tool with sibling tools such as set_user_context or update_user_rule, though the resource name 'profile' makes the context clear.

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

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

Annotations already declare idempotentHint=true and destructiveHint=false, but the description adds no further behavioral context. It does not disclose whether the update is partial (merging fields) or a full replacement, nor what happens to unspecified fields. This is a meaningful semantic gap.

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

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

A single, front-loaded sentence that delivers the essential verb, object, and key identifier with zero wasted words. It is concise and well-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?

With a complete schema and output schema present, the description is minimally sufficient. However, it leaves ambiguity about update semantics (partial vs full) and does not mention whether all fields are optional or if rule_id alone is enough for a valid update. This is a clear gap for a mutating tool.

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

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

The schema provides full 100% coverage with descriptions for all six parameters, so the baseline is 3. The description only mentions rule_id, which is already obvious from the schema, and adds no additional meaning about how parameters relate or are used.

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 'Update an existing user rule by rule_id' uses a specific verb and resource, clearly distinguishing it from siblings like add_user_rule, delete_user_rule, and list_user_rules. It also names the key parameter, rule_id.

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

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

The word 'existing' implies modification of an already-created rule, which contrasts with add_user_rule. However, it does not explicitly state when to use this tool over alternatives or mention any prerequisites, only implying the use case through the term 'existing'.

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