Daemon-MCP

Server Quality Checklist

Profile completionA complete profile improves this server's visibility in search results.

Latest release: v1.0.1
Disambiguation4/5
Each tool targets a distinct operational domain (memory, rules, code, decisions, housekeeping), with only minor overlap between explore and consult in retrieval contexts. Descriptions are clear enough to differentiate them.
Naming Consistency3/5
Tool names mix single verbs (reflect, explore, commune) with compound forms (simulate_decision, evolve_rule, debate_internal). This inconsistent pattern makes it harder to predict tool function from name alone.
Tool Count5/5
11 tools is well within the ideal 3-15 range, and each tool bundles a coherent set of sub-operations that justifies its presence. The count feels appropriate for the server's broad scope.
Completeness4/5
The surface covers memory, rules, code comprehension, decision analysis, session management, and housekeeping. Minor gaps include lack of explicit rule deletion and some overlapping retrieval methods, but these do not significantly hinder agent workflows.
Average 2.6/5 across 11 of 11 tools scored. Lowest: 1/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 2 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is failing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must disclose behavior. It does not reveal whether actions are read-only, mutating, cause side effects, require authentication, or have other implications. For instance, the 'execute' action could be destructive, but no safety information is given.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness1/5
Is the description appropriately sized, front-loaded, and free of redundancy?
While the description is brief (two short phrases), it is under-specified rather than concise. It provides no structured breakdown of actions, parameters, or usage examples, so the brevity is a liability, not a convenience.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has high complexity (10 parameters, multiple actions, an output schema yet not shown), but the description provides virtually no context. It does not explain what 'outcome', 'verify', or 'execute' mean, how they relate, or what kind of output to expect, making the tool unusable for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are 10 parameters, and schema description coverage is 0%. The description does not explain the meaning or expected format of any parameter. Required 'action' is a bare string with no enum or examples, and optional fields like 'worked', 'memory_id', and 'project_path' are completely unexplained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose1/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Outcomes & verification operations' is an abstract category, not a specific verb+resource. It lists action names ('outcome', 'verify', 'execute') without defining what each does, and does not distinguish 'reflect' from sibling tools. The tool's purpose remains ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions, and fails to reference any sibling tools for comparison.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavioral traits, but it does not. There is no mention of side effects, permissions, rate limits, output nature, or other operational details. The action names suggest intelligence gathering, but their actual behavior is undefined.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but it is under-specified rather than appropriately concise. The action list is presented without context or definitions, and the description lacks structure to help an agent understand how to use the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's high complexity (28 parameters, multiple actions) and the presence of an output schema, the description is severely incomplete. It does not explain what actions do, what parameters mean, or what outputs to expect. This is insufficient for correct tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description needed to explain the many parameters. It only lists possible action values, leaving parameters like 'visual', 'condensed', 'highlight', and 'compress_text' completely unexplained. No parameter semantics are added beyond the property names themselves.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Pre-action intelligence gathering' is vague and lacks a clear verb+resource structure. The list of actions (preflight, recall, search, compress) hints at capabilities but does not define what they do or how they relate to the tool's purpose. It also fails to distinguish the tool from sibling tools like explore or reflect.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use consult versus other tools. The phrase 'pre-action' implies a temporal context, but it is not elaborated. There are no explicit alternatives, exclusions, or conditions for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention side effects, data loss potential (e.g., unlink, clear_active), authorization needs, or state changes. The action names hint at behaviors but the description itself provides no transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, which is concise, but it's also under-specified. The structure (a header plus a list of actions) is clean, but it lacks the depth needed to be useful. It's not bloated, but it's not well-rounded either.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (22 parameters, 8 actions, no annotations, no parameter descriptions), this description is far from complete. There's no context about which actions pair with which parameters, what the expected behavior is, or what the output contains. An agent would be guessing at how to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, so the description must compensate. It only lists possible values for the 'action' parameter, which is helpful, but it provides no meaning for the other 21 parameters. This is minimal compensation and leaves most parameters undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Memory writing & linking operations' which gives a vague sense of purpose, but it doesn't define what the tool actually does beyond a category. The list of actions (remember, link, pin, etc.) provides some specificity, but the overall purpose is still fuzzy and doesn't clearly distinguish it from siblings like reflect or maintain.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description simply lists actions without explaining any context, prerequisites, or exclusions. It's an empty shell regarding usage selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing side effects, authorization needs, or state changes. The description does not mention that some actions like 'rebuild_communities' or 'backfill_entities' likely mutate data, nor does it disclose read-only behavior, rate limits, or return characteristics. There is no behavioral transparency at all.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the main category, followed by an action list. There is no extraneous prose. However, the action list is not structured with descriptions or grouped by purpose, which limits its usefulness. Still, it earns its place as a compact enumeration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's high complexity—24 parameters, 11 dispatching actions, and no annotations—the description is severely incomplete. It provides no per-action guidance, no parameter-action mapping, and no explanation of expected outputs or side effects. The presence of an output schema does not make up for the absence of operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 24 parameters with zero description coverage, and the description only lists possible values for the 'action' parameter without explaining their semantics. This is marginally helpful for understanding the required 'action' field, but it fails to clarify the purpose of the other 23 parameters, including relationships between them and the actions. The description does not compensate for the low schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool is for 'Graph & discovery operations' and lists eleven action names, which gives a broad sense of scope. However, it does not define any specific action or the resource it operates on, making it only slightly more helpful than the tool name. It is not a tautology, but it lacks the specificity needed to clearly distinguish individual operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus its siblings, nor any context for choosing among the listed actions. The action list implies there are different modes, but no criteria or examples are provided. This leaves the agent without direction for selecting the correct operation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits, but it does not. It gives no indication of side effects, required permissions, rate limits, or what happens when actions are executed. The list of actions is not accompanied by any behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the purpose, but it is under-specified. The line-break list of actions is clear, but the brevity comes at the cost of missing essential context, so it is not effectively structured for decision-making.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema and 18 parameters, the description provides almost no context. It does not explain how to combine actions with parameters, what outputs to expect, or any operational details. This is severely incomplete 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.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description fails to explain any of the 18 parameters. It does not map parameters like 'pattern', 'must_do', 'ask_first', or 'project_path' to specific actions, leaving the agent without any semantic guidance for choosing and filling parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as managing rules and triggers, and lists specific actions (add_rule, update_rule, list_rules, etc.) that define its scope. This distinguishes it from siblings like 'evolve_rule' which is more focused on rule evolution, though it could be more explicit about the governance context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It simply lists actions without explaining scenarios, prerequisites, or conditions under which this tool is preferred over siblings like 'evolve_rule' or 'maintain'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure, but it offers none. Actions like prune, purge, cleanup, and consolidate are potentially destructive, yet there is no mention of side effects, reversibility, permissions, or safety defaults. The dry_run parameter is not mentioned either.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise in length but under-specified. It front-loads a generic category ('Housekeeping & federation operations') and a list of actions, but the content is too sparse to be useful. It is not verbose, but it also does not earn its place as a meaningful description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (20 parameters, 12 actions, no annotations), the description is severely incomplete. It does not explain how actions relate to parameters, what each action does, or when to use them. The existence of an output schema is the only mitigating factor, but it cannot compensate for the missing operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must explain parameter meanings, but it does not. It only lists the action names and leaves 20 parameters (e.g., data, merge, archive_sources, project_path) completely unexplained. The description adds no value beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as handling 'Housekeeping & federation operations' and lists 12 specific actions (prune, archive, cleanup, etc.), which helps an agent grasp the scope. It distinguishes itself from sibling tools like reflect or explore by its maintenance-focused role, though the term 'federation' remains vague.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description simply lists actions without any context on prerequisites, scenarios, or exclusions. An agent gets no help deciding between 'maintain' and a sibling like 'govern' or 'understand'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral disclosure. It only provides a category and a list of action names, with no indication of side effects, permissions, or whether actions are read-only or mutating. This is minimally informative.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded, but the brevity is under-specification rather than conciseness. The action list is cryptic and would be more useful if each action were briefly defined.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 11 parameters, no annotations, and no parameter descriptions, the description is highly inadequate. It does not explain how actions relate to the many input parameters, nor what the output schema will contain. This is far from 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.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description needed to clarify parameter meanings. It only hints that 'action' can take values like briefing or health, but gives no insight into tags, limit, since, visual, entities, file_path, focus_areas, project_path, interval_seconds, or parent_community_id.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool handles 'Session start & status operations', giving a general resource and purpose. However, the listed actions (briefing, active_context, triggers, health, covenant, updates) are not explained, and the description doesn't distinguish this from sibling tools like govern or reflect.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. It does not mention use cases, exclusions, or relationships to sibling tools, leaving the agent to guess the appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, but it fails to mention side effects (e.g., 'refactor' may modify code), permissions, or output behavior. The action list hints at capabilities but does not explain consequences.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded, with a clear category followed by a list of actions. Both lines are useful and the structure is easy to scan, though it lacks detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema, the tool is complex with 10 parameters, no schema descriptions, and no annotations. The description is far too sparse to give an agent enough context on how to correctly invoke actions and choose parameters.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description does not mention any of the 10 parameters (e.g., path, query, limit, action) or their roles. It provides no compensation for the schema's missing documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the tool as 'Code comprehension operations' and lists five actions, giving a general sense of its purpose. However, it does not describe what each action actually does, making the purpose somewhat vague rather than clearly specific.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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, nor any exclusions or context. It merely states a category and action names, leaving the agent to infer usage without support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses key behaviors: arguments are supported only by recalled memory evidence, no external reasoning, convergence detection halts deliberation, and consensus memory inscription. This adds meaningful context beyond the schema, though it does not mention all possible side effects or errors.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured: a clear title, two sentences of explanatory detail, and a structured Args list. No filler or redundant information; every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity, the description covers the core purpose, process, side effects, and constraints. It does not explain return values (but an output schema exists) nor explicit usage timing, but overall it provides sufficient context for an agent to understand the tool's function and behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. The Args list provides brief definitions for all four parameters, but the explanations are minimal (e.g., 'project_path: Project root') and add limited value beyond the parameter names themselves.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool convenes an internal structured debate grounded in memory evidence, naming specific roles (advocate/challenger/judge). It distinguishes itself from siblings by highlighting that no external reasoning is invoked and that the synthesis is recorded as consensus memory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for internal deliberation using memory evidence, but provides no explicit 'when to use' or 'when not to use' guidance, nor does it name alternative tools. Usage context is implied but not clearly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It explicitly states that the daemon 'proposes changes but never inscribes them without consent,' which reveals the non-mutating, advisory nature of the tool. It does not cover permission requirements or failure modes, but the key behavioral trait is disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and well-organized: a clear title line, a two-sentence body with a focused purpose statement, and a concise Args block. Every sentence contributes useful information without repetition or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists and there are only two optional parameters, the description provides sufficient context for correct invocation: what the tool does, how to target a specific rule or run batch analysis, and the non-mutation guarantee. It could mention prerequisites like the need for a code index or outcome history, but this is not a significant gap for basic usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the Args section is crucial. The description adds meaningful context to both parameters: rule_id is explained as 'Specific rule ID to analyze (omit for batch analysis of all rules)' and project_path as 'Project root'. This goes beyond the schema's bare names and defaults, though project_path could be more detailed about how it is used.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Rule Entropy Analysis -- examine rules for signs of decay and drift' and details how it cross-references rule triggers against the code index and outcome history to produce staleness scores and evolution suggestions. This clearly specifies the verb (examine/analyze), resource (rules), and output, while the phrase 'never inscribes them without consent' distinguishes it from the sibling tool 'inscribe'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes the intended use clear: analyze rules for decay/drift. It also explains batch vs. specific analysis via the rule_id parameter ('omit for batch analysis of all rules'). However, it does not explicitly name alternative tools or state when another sibling tool should be used instead, so it falls short of full alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of explaining behavior. It discloses that the tool reconstructs past context, compares it with current understanding, and reveals previously unknown information, implying a non-destructive analysis. However, it does not address potential side effects or permissions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded, with a memorable title followed by a clear explanation and a brief Args list. No unnecessary detail is present.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has an output schema (covering return values), the description sufficiently covers purpose and parameters. It does not clarify how project_path is used or mention any preconditions, but for a 2-parameter tool this is adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description includes an 'Args' section that defines decision_id as 'Memory ID of the decision to scry' and project_path as 'Project root,' providing semantic meaning that the bare schema lacks. With 0% schema description coverage, this full compensation earns a 5.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Temporal Scrying -- replay a past decision with current knowledge,' which clearly identifies the action and resource. It further explains the process of reconstructing context and revealing new insights, making it distinct from sibling tools like reflect or explore.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description establishes a clear context for use (replaying past decisions with current knowledge) but does not explicitly mention alternatives or situations to avoid. This meets the 'clear context, no exclusions' bar.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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