search_charactersSearch for anime/manga characters by name. Returns character names, nicknames, favorites count, and biography.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Character name to search for (e.g., "Naruto") |
| Name | Required | Description | Default |
|---|---|---|---|
| total | Yes | Total number of characters matching the query | |
| results | Yes | List of characters matching the search query |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / examplesAdded value: +[
+ {
+ "query": "Naruto Uzumaki"
+ },
+ {
+ "query": "Rem"
+ }
+]Output schema / (root)Previous value: -nullNew value: +{
+ "properties": {
+ "results": {
+ "description": "List of characters matching the search query",
+ "items": {
+ "properties": {
+ "about": {
+ "description": "Character biography",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "favorites": {
+ "description": "Number of favorite votes",
+ "type": "number"
+ },
+ "image_url": {
+ "description": "URL to character image",
+ "type": "string"
+ },
+ "mal_id": {
+ "description": "MyAnimeList character ID",
+ "type": "number"
+ },
+ "name": {
+ "description": "Character name",
+ "type": "string"
+ },
+ "name_kanji": {
+ "description": "Character name in kanji if available",
+ "type": [
+ "string",
+ "null"
+ ]
+ },
+ "nicknames": {
+ "description": "List of character nicknames",
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "url": {
+ "description": "MyAnimeList character URL",
+ "type": "string"
+ }
+ },
+ "required": [
+ "mal_id",
+ "name",
+ "nicknames",
+ "favorites",
+ "image_url",
+ "url"
+ ],
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "total": {
+ "description": "Total number of characters matching the query",
+ "type": "number"
+ }
+ },
+ "required": [
+ "total",
+ "results"
+ ],
+ "type": "object"
+}Input schema / examplesRemoved value: -[
- {
- "name": "Rick"
- },
- {
- "name": "Morty"
- }
-]Output schema / (root)Previous value: -{
- "properties": {
- "characters": {
- "description": "List of matching characters",
- "items": {
- "properties": {
- "episode_count": {
- "description": "Number of episodes character appears in",
- "type": "number"
- },
- "gender": {
- "description": "Character gender",
- "type": "string"
- },
- "id": {
- "description": "Character ID",
- "type": "number"
- },
- "image": {
- "description": "URL to character image",
- "type": "string"
- },
- "location": {
- "description": "Character current location name",
- "type": "string"
- },
- "name": {
- "description": "Character name",
- "type": "string"
- },
- "origin": {
- "description": "Character origin location name",
- "type": "string"
- },
- "species": {
- "description": "Character species",
- "type": "string"
- },
- "status": {
- "description": "Character status (alive, dead, or unknown)",
- "type": "string"
- },
- "type": {
- "description": "Character type or subspecies",
- "type": [
- "string",
- "null"
- ]
- }
- },
- "required": [
- "id",
- "name",
- "status",
- "species",
- "type",
- "gender",
- "origin",
- "location",
- "image",
- "episode_count"
- ],
- "type": "object"
- },
- "type": "array"
- },
- "count": {
- "description": "Total number of characters matching the search",
- "type": "number"
- },
- "pages": {
- "description": "Total number of pages available",
- "type": "number"
- }
- },
- "required": [
- "count",
- "pages",
- "characters"
- ],
- "type": "object"
-}New value: +nullOutput schema / (root)Previous value: -nullNew value: +{
+ "properties": {
+ "characters": {
+ "description": "List of matching characters",
+ "items": {
+ "properties": {
+ "episode_count": {
+ "description": "Number of episodes character appears in",
+ "type": "number"
+ },
+ "gender": {
+ "description": "Character gender",
+ "type": "string"
+ },
+ "id": {
+ "description": "Character ID",
+ "type": "number"
+ },
+ "image": {
+ "description": "URL to character image",
+ "type": "string"
+ },
+ "location": {
+ "description": "Character current location name",
+ "type": "string"
+ },
+ "name": {
+ "description": "Character name",
+ "type": "string"
+ },
+ "origin": {
+ "description": "Character origin location name",
+ "type": "string"
+ },
+ "species": {
+ "description": "Character species",
+ "type": "string"
+ },
+ "status": {
+ "description": "Character status (alive, dead, or unknown)",
+ "type": "string"
+ },
+ "type": {
+ "description": "Character type or subspecies",
+ "type": [
+ "string",
+ "null"
+ ]
+ }
+ },
+ "required": [
+ "id",
+ "name",
+ "status",
+ "species",
+ "type",
+ "gender",
+ "origin",
+ "location",
+ "image",
+ "episode_count"
+ ],
+ "type": "object"
+ },
+ "type": "array"
+ },
+ "count": {
+ "description": "Total number of characters matching the search",
+ "type": "number"
+ },
+ "pages": {
+ "description": "Total number of pages available",
+ "type": "number"
+ }
+ },
+ "required": [
+ "count",
+ "pages",
+ "characters"
+ ],
+ "type": "object"
+}Input schema / examplesAdded value: +[
+ {
+ "name": "Rick"
+ },
+ {
+ "name": "Morty"
+ }
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the return value details (character names, nicknames, favorites count, biography) and confirms the search action, which adds behavioral context beyond the annotations without 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?
The description is a single sentence that front-loads the verb and resource, then lists return fields. It is concise, efficient, and contains no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter search tool with rich annotations and an output schema, the description sufficiently covers what the tool does, what it returns, and how to use it. The presence of an output schema means return format details are handled elsewhere.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description for the 'query' parameter ('Character name to search for (e.g., "Naruto")') and examples. The tool description reinforces the 'by name' aspect but doesn't add additional 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 a specific verb and resource: 'Search for anime/manga characters by name.' It also lists return fields (names, nicknames, favorites count, biography), which adds precision and distinguishes it from sibling tools like search_anime.
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 (when searching for characters by name) but does not explicitly mention alternatives or exclusions. It's unambiguous enough that the agent can infer usage, though it doesn't name sibling tools like search_anime or resolve_entity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools serve overlapping purposes (ask_pipeworx, ask_pipeworx_grounded, deep_research, bet_research, compare_entities, entity_profile, recent_changes, validate_claim) all querying Pipeworx data with similar outcomes. An agent would struggle to choose correctly without deep understanding of nuanced differences.
Naming conventions are mixed: snake_case (ask_pipeworx, get_anime), camelCase (generate_llms_txt, pipeworx_feedback), and compound names (polymarket_arbitrage, ai_visibility_check). No consistent pattern across the tool set.
34 tools is excessive for a single server. Many are meta-tools (discover_tools, suggest_questions) or narrowly focused (pipeworx_trending, scan_dependency). The server tries to cover too many domains (anime, financial data, predictions, memory) in one surface.
The anime tools (search, get, top) form a reasonable read-only surface. The Pipeworx query tools are comprehensive but lack obvious data management tools (e.g., listing sources, managing credentials). Memory tools (remember/recall/forget) are isolated. Overall, gaps exist but core workflows are covered.